MEASUREMENT AUTHENTICATING WELLNESS DEVICES

Description

FIELD OF INVENTION

The present invention relates to an entity access control system that allows or denies access by a person to a premises or gathering based upon the anonymous confirmation of an authenticated health state provided by a computing device associated of the person attempting to gain access. The health state is determined by an intermediary app executing on the computing device, where the device authenticates one or more health measurements for determining the authenticated health state, and where the one or more authenticated health measurements are determined by the computing device or in combination with an authenticated companion device.

BACKGROUND OF THE INVENTION

The present invention is related to THEME PARK GAMIFICATION, GUEST TRACKING AND ACCESS CONTROL SYSTEM, Aman, U.S. Pat. No. 10,861,267, issued Dec. 8, 2020. The GUEST TRACKING AND ACCESS CONTROL SYSTEM taught a “smart ticket” comprising in one form a mobile device such as a smartphone executing a venue app. Using the smart ticket in combination with a venue's “confined Zone3” (herein also “geofence”) it was taught that that a ticketed guest could negotiate “confirmed” self-access to the venue, where confirmation included self-identification using a current biometric to compare with a prior biometric for example already “registered” to the ticket (herein referred to as “authentication”). The venue app was a tamperproof agent representing both parties, the guest, and the venue (“destination”). The solution maintains guest privacy and eliminates the need for a personal interaction with a destination agent, while also achieving the trust of the destination (i.e., that the ticket is only being used by a single biometrically confirmed/authenticated person). This prior teaching is generally referred to herein as a premises access control system implementing an anonymous, privately authenticated “right-to-access” using an “honest broker” (the venue app).

The present invention is also a continuation-in-part of GUEST TRACKING AND ACCESS CONTROL USING HEALTH METRICS, Aman et al., PCT/US2021/029186 filed on Apr. 26, 2021. This subsequent PCT application extended the prior U.S. Pat. No. 10,861,267 teachings to include means for assuring the destination of the acceptable present health state of the guest, referred to as “proof-of-health.” Within this PCT patent the prior “venue app” is also referred to as an “intermediary app” or “honest broker.” The honest broker app is shown to gain the “public trust” that a person desiring to access a premises or gathering has an acceptable health status, where this acceptable proof-of-health is privately determined and authenticated by the honest broker with respect to one or more public “regiments” specifying the conditions for proof.

Proof-of-health was shown to have at least three dimensions including: “level 1” (L1) personal symptom tracking, level 2 (L2) health kit test result(s), and level 3 (L3) healthcare administered services (such as vaccination(s)). All data supporting L1, L2 and L3 proof was shown to be collected and maintained by the honest broker remaining private to the person where only the net “regiment pass/fail” status is shared with the access control system. Thus, the system was shown to implement an anonymous, privately authenticated “right-to-access” with “proof-of-health” using the “honest broker.”

L1 symptom tracking was shown to require further adapted wellness devices (examples included a digital thermometer, pulse oximeter, a smartwatch, chest band, smart scale, patch, breath analyzer, etc.). While traditional wellness devices can be used in private by a person to collect health measurements indicative of their personal symptomatic (L1) health state, it was shown that these traditional measurements where not authenticated to be “of” the person, and therefore were not “publicly trustable.” Gaining public trust was shown to require authentication of each measurement by at least either of two methods referred to generally as “line-of-sight” and “non-line-of-sight.”

In line-of-sight authentication, the person holds their computing device with camera (e.g., smartphone) where the honest broker app (executing on or through the computing device) can simultaneously image the person's face along with the wellness device. While simultaneously viewing, the app: 1) confirms the person's identity using facial recognition, 2) sends electronic signals to the device for triggering a unique pattern of light flashes, where the device is adapted with an LED (or includes a light emitter) to blink a return signal, and 3) detects and confirms the return signal while the device simultaneously measures and communicates the person's symptom(s).

When line-of-sight is not possible, e.g., the person is wearing a chest band or an arm patch, the app: 1) confirms the person's identity using facial recognition, 2) using remote Photoplethysomography (rPPG) detects the person's heartbeat (H1), while the wellness device separately detects the person's heartbeat (H2), and 3) confirms that H1 sufficiently matches H2 while the device measures and communicates the person's symptom(s).

The PCT application taught means for determining that a wearable (such as a smartwatch or chest band) was affixed and clasped to the person's body, where authentication by either method was not substantiated until the wearable was determined to be “locked” and whereafter all measurements taken (presumably over minutes, hours and even days) remain “authenticated” until the wearable detects that it has been “unlocked” from the person's body.

The preceding background is not meant to completely teach or in any way limit the prior related and continued patents and the reader is directed to these patents and patents pending for a full understanding of their many teachings and various implementations of both apparatus and methods. For example, the PCT application taught extensively about anonymous, authenticated health kits allowing a person to privately collect and authenticate health samples (such as mucus or blood) for lab analysis, where the test results (L2) are associated with an anonymous token for retrieval by the honest broker from the lab's anonymous database. The PCT application also taught extensively about anonymous, authenticated health services (such as vaccinations) where the person uses the honest broker to privately authenticate and request a particular service. The honest broker was described as providing an anonymous service token to a healthcare service agent, whereafter a healthcare service is provided to the person and whereupon completion of the service a certificate is provided to the honest broker in association with the anonymous token, thus providing “proof-of-service” (L3).

SUMMARY OF THE INVENTION

The present invention especially extends the teachings of the PCT Application GUEST TRACKING AND ACCESS CONTROL USING HEALTH METRICS, Aman et al., PCT/US2021/029186 filed on Apr. 26, 2021, of which it is a continuation-in-part. Even more specifically, the present invention deals with additional teachings relating to the authentication of wellness devices, where additional novel authentication addresses teachings related to both apparatus and methods.

Teachings are provided that generally segregate wellness devices as being “primary,” “secondary,” or “tertiary.” Primary devices are differentiated by their ability to execute the honest broker app for determining, authenticating, maintaining, and communicating the on-going health state of a person. As taught in the related PCT application, the honest broker app authenticates and assesses the person's current health state in relation to one or more public regiments specifying rules and conditions for example referring to L1 “symptom tracking,” L2 “health kit testing,” and L3 “health services” (such as vaccinations), where for example the authenticated “regiment ABC pass/fail assessment” is anonymously communicated to an access control system within a geofence, and where the access control system allows or denies the person access to a premises or gathering based at least in part on the authenticated assessment/“proof-of-health.”

Primary and secondary devices are differentiated herein by their ability to determine at least one personally identifying biometric of the person, such as facial recognition, voice recognition, fingerprint, iris scans or heartbeat “ECG”/“EKG” pattern, where these personally identifying biometrics are referred to as “body ID patterns (a).” Hence, primary and secondary devices are said to be “self-authenticating.” A primary device is also shown to have the ability to pair and authenticate a companion device, for example a secondary or tertiary device, where the companion device is determining and providing one or more health measurement of the person to the primary device from use in determining the person's on-going heath state. In the case of pairing, both the primary device and the companion device determine a “comparison body pattern (b)” (such as the person's heartbeat), where then the primary device authenticates the companion device by comparing the pattern “b” captured by the companion device with the pattern “b” captured by the primary device.

Specific adaptations are provided for a smartwatch that include the use of a combined fingerprint reader/heartbeat detector. The adaptation is shown on the watch band and allows the watch to self-authenticate by in part comparing a simultaneous heartbeat captured from the finger (along with the fingerprint ID) with the heartbeat captured from the wrist underneath the watch itself. The self-authenticating smartwatch is shown as a primary device that is then capable of pairing with another primary device (such as a smartphone), a secondary device (such as an authenticating chest band) and a tertiary device (such as clothing with body sensors, body patches, smart scales and exercise equipment).

A method is discussed for establishing the authenticity of a person using a primary device, where the primary device is either a wearable or not a wearable, followed by the pairing, authenticating and health measurement data collection of the authenticated primary device with any of secondary or tertiary devices (where an otherwise primary device can also act as a secondary or tertiary device).

The authenticating smartwatch is also shown to include further adaptions taught in the PCT application in relation to a finger worn device, where the adaptations include skin temperature as well as galvanic response sensors, ambient sensors (for example to sense humidity, temperature and light), and an LED or otherwise light emitter for use in line-of-sight light signaling. The adaptations allow the smartwatch for example to function similar to the prior finger worn device for example to touch the person's forehead for measuring their temperature in combination with the electrical state of their skin and the surrounding ambient environmental conditions.

A new type of wellness device is taught that captures a person's heartbeat preferably from the upper lip by for example using either of transmissive or reflective photoplethysmography (“PPG”). This device is taught to couple with for example either of a breath analyzer or a digital thermometer, where the coupled combinations from at least tertiary devices, but possibly also secondary devices by the inclusion of a fingerprint/pulse detector.

Given the teachings of the prior referenced applications along with the state-of-the art in device electronics, health sensors, environment sensors, computer and communication systems and other arts as will be recognized within the present specification, it is now possible to implement primary, secondary and tertiary wellness devices as described herein and in alternative embodiments anticipated herein, all as will be apparent from a careful consideration of the present application.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING

FIG. 1A shows a person 10 being authenticated by primary wellness device 1 such as a computing device with camera (e.g., the depicted smartphone) 1-1 executing an honest broker app (all as discussed in the prior related applications). Personal authentication for example includes any of facial recognition ID, fingerprint ID, and audio/voice pattern ID. Also shown is primary device 1-1 capturing a heartbeat pattern 1-h1 using rPPG (remote photoplethysmography), where this heartbeat is at least usable for authenticating other tertiary devices 3 that lack their own means for personal identification (ID) but otherwise can create a comparable heartbeat pattern (such as 3-h4 in FIGS. 1D, 1E and 1F). Device 1-1 is further adapted to include a combination fingerprint reader/heartbeat sensor 1-1-s, where the finger-heartbeat 1-h2 determined by sensor 1-1-s is then comparable to face-heartbeat 1-h1 such that upon proper matching the fingerprint ID captured by sensor 1-1-s is proven combinable for personal authentication with the facial ID determined via facial recognition.

FIG. 1B shows a perspective view of a smartwatch 1-2 in both a top view (including watch band 1-2-b) and a bottom view showing sensor(s) 1-2-s2 for determining at least the wrist-heartbeat 1-h3 of person 10 currently wearing the watch 1-2. Watch band 1-2-b preferably includes any of clasp “open/closed” detection technologies such as taught in relation to the parent PCT application, (including for example the use of sensor(s) 1-2-s2 to sense skin/wrist proximity), where band 1-2-b has been further adapted to additionally include fingerprint reader/heartbeat sensor 1-2-s1, where the finger-heartbeat 1-h2 determined by sensor 1-2-s1 is then comparable to wrist-heartbeat 1-h3 such that upon proper matching the fingerprint ID captured by sensor 1-1-s1 is proven useable for personal authentication of the smartwatch measurements and as such the smartwatch 1-2 becomes a primary wellness device 1.

FIG. 1C shows a secondary wellness device 2 that is a wearable chest band 2-1 comprising band 2-1-b including “open/close” detectable lock 2-1-lck, a sensor 2-1-s1 for detecting a fingerprint with associated heartbeat 2-h2, and at least one sensor 2-1-s2 for detecting body cavity health data including heartbeat 2-h4. Finger-heartbeat 2-h2 determined by sensor 2-1-s1 is then comparable to body-heartbeat 2-h4 such that upon proper matching the fingerprint ID captured by sensor 2-1-s1 is proven useable for personal authentication and as such the chest band 2-1 becomes a secondary wellness device 2.

FIGS. 1D, 1E and 1F show four variations of a tertiary wellness devices 3, including wearable clothing 3-1 and wearable patch 3-2 (see FIG. 1D), smart scale 3-3 (FIG. 1E), and exercise equipment 3-4 (FIG. 1F). Each variation can detect a body heartbeat pattern 3-h4 for association with any determined health measurements, where the associated health measurements are then authenticatable by a primary device 1 based upon sufficient matching of pattern 3-h4 with a body heartbeat pattern separately and preferably concurrently determined by the device 1 (such as face-heartbeat 1-h1, finger-heartbeat 1-h2 or wrist-heartbeat 1-h3).

FIG. 2 is a flowchart showing the preferred steps (100 through 114) for authentication of a primary device 1, such as mobile device 1-1 or wearable/watch 1-2, followed by the collection of health measurements by the authenticated primary device 1. Steps 106-1 through 106-3 cover the pairing and authentication of a companion device 2 or 3 with the device 1 followed by the collection and communication of health measurements made by the companion device 2 or 3 (collectively steps 200 through 212). The preferred steps are not limiting, for example a secondary device 2 could follow the steps of 100 through 114 excluding device pairing steps 106-1, 106-2 and 106-3, as the conceptual distinction between a primary device 1 and a secondary device 2 is mainly that the secondary device 2 is not used to pair with other devices (such as a tertiary device 3) for the purposes of collecting additional health measurements, although many variations are possible and useful outside of this conceptual distinction.

FIG. 3A is a perspective view of a finger-worn touch thermometer 3-1-d9 configured as taught in the related PCT application. Touch thermometer 3-1-d9 was taught to comprise a contact temperature sensor for determining personal body temperature for example by touching the forehead. The device included a light emitting means such as an LED for use in the line-of-sight authentication process as described in the PCT application. Various ambient sensors were included to determine for example the surrounding humidity, temperature, and light levels, all of which were discussed as potentially impacting the determination of the personal body temperature. The device 3-1-d9 also included galvanic response sensors to for example measure the current resistance and capacitance of the skin at the point of contact, also shown to be useful for determining the presence of added substances that might affect the personal body temperature measurement. And finally, device 3-1-d9 also included sensors for determining heart rate and blood ox levels, typically accomplished using photoplethysmography (PPG).

FIG. 3B depicts alternative smartwatch 1-3 that has been further adapted beyond smartwatch 1-2 of FIG. 1A to include sensors found on the touch thermometer 3-1-d9 (see FIG. 3A) such that alternative smartwatch 1-3 can then be used to accomplish at least some of the purposes taught with respect to 3-1-d9 in the related PCT application (in particular, the reading of personal body temperature off the forehead, see FIG. 3C). The preferred minimum added sensors 1-3-s3 include contact sensor(s) for determining skin temperature as well as galvanic response sensors (sometimes referred to as “electrodermal” sensors) for sensing electrical properties of the skin such as resistance and capacitance. Additional preferred added sensors 1-3-s4 measure ambient humidity, temperature and light levels. Device 1-3 optionally includes a light emitting means such as an LED 1-3-led for use in the line-of-sight authentication process as described in the PCT application.

FIG. 3C is a pictorial diagram showing person 10 using alternative smartwatch 1-3 to touch their forehead for taking their personal body temperature while preferably also capturing their forehead-heartbeat 1-h4 for authentication comparison to at least their wrist-heartbeat 1-h3 as captured by the watch 1-3. Watch 1-3 preferably also captures the skin galvanic responses as well as ambient environment data such as humidity, temperature and light levels. Also depicted, person 10 is optionally using smartphone 1-1 to further authenticate the forehead temperature by determining person 10's facial-heartbeat 1-h1 and/or finger-heartbeat 1-h2 for comparison with forehead-heartbeat 1-h4. If implemented, smartwatch 1-3 uses optional light emitting means 1-3-led for conducting line-of-sight authentication with smartphone and app 1-1, all as described in the related PCT application.

FIG. 4A is an image of a currently available (PRIOR ART) handheld “breath keytone monitor”/breath analyzer 2-2pa sold by Biosense as referenced in the related PCT application. In general, there are many types of breath analyzers that are being represented by 2-2pa, of which the Biosense is just one example. For example, breath analyzer 2-2pa is also meant to represent breath analyzers used to determine the current alcohol level in a person 10, while other examples include detection of current medical conditions, such as but not limited to infectious diseases.

FIG. 4B shows person 10 with an overlay of the human facial arteries. What is important to see is that there are two facial arteries pumping blood through the lips. Namely, the inferior labial artery through the lower lip (not labeled), and the superior labial artery 10-sla through the upper lip.

FIG. 4C depicts the well-known apparatus referred to as photoplethysmography (PPG) sensors for detecting blood flow in general and the heartbeat in particular when substantially coming into contact with the skin. PPG sensors include two main arrangements referred to as the “transmission type” and the “reflective type.” An example transmission type PPG is a traditional pulse oximeter that clamps over a fingertip. An example reflective type PPG is typically used on the underside of a smartwatch, such as primary device 1-2 (see 1-2-s2 in FIG. 1A, bottom view), or an exercise wearable like a “Fitbit.” FIG. 4D is a perspective view of lip pulse detector 3-5 comprising mouthpiece 3-5-mp that includes a PPG lip sensor 3-5-s1 and a coupling/cavity 3-5-h with which health measurement apparatus can be engaged by detector 3-5 for example by insertion through a cavity (see for example breath analyzer 2-2 in FIG. 4E and digital thermometer 2-3 in FIG. 5B). Mouthpiece 3-5-mp can take virtually any of many possible forms for engaging with the mouth of person 10 while positioning with respect to either the upper lip (as depicted in FIG. 4D) or with respect to the lower lip or even both lips (depictions not provided). Coupler/cavity 3-5-c preferably includes electrical contacts or communication means (not depicted) for at least detecting the presence of an inserted health measurement devices (such as 2-2 or 2-3) and optionally communicating with the inserted device. Also not depicted are any well-known wellness device elements such as power and computing components for at least operating the PPG lip sensor 3-5-s1, detecting the presence of an inserted measurement device and communicating with either the inserted measurement devices and/or a primary wellness device 1 such as smartphone and app 1-1 or smartwatches 1-2, 1-3. Lip sensor 3-5-s1 determines a lip-heartbeat 3-h4.

FIG. 4E depicts a breath analyzer 2-2ba that has been further adapted to physically and functionally combine with a lip pulse detector 3-5 for the purpose of concurrently determining the lip-heartbeat 3-h4 while also at least receiving/sampling the breath of person 10, and the optionally also analyzing the breath of person 10, such that the combination serves to create an authenticatable breath analysis, where it is understood that the analysis may be performed at a later time that is not necessarily substantially concurrent with the detection of lip-heartbeat 3-h4. Person 10 and measurement authentication can be accomplished in a number of ways as discussed in the prior PCT and the present application, including the further adaptation of the breath analyzer 2-2ba to include a combination fingerprint reader/heartbeat sensor 2-2-s1, where the finger-heartbeat 2-h2 determined by sensor 2-2-s1 is then comparable to lip-heartbeat 3-h4 such that upon proper matching, the fingerprint ID captured by sensor 2-2-s1 is useful for authenticating the concurrently determined breath analysis of person 10. Analyzer 2-2ba preferably at least includes apparatus for electronically engaging and/or otherwise communicating with lip pulse sensor 3-5 such that sensor 3-5 determines the time and duration of engagement, preferable used at least in part to trigger lip pulse measurement via the PPG sensor(s) 3-5-s1 (FIG. 4D) such as 10-ppg1 or 10-ppg2 (FIG. 4C). Analyzer 2-2ba may also comprise electronic components for communicating with any of a primary wellness device 1 such as smartphone and app 1-1 or smartwatch 1-2, 1-3. There are many possible arrangements and configurations of authenticating breath analyzer 2-2, where some combinations comprise a multi-part configuration including physically separable lip pulse detector 3-5 and breath analyzer unit 2-2ba, whereas other configurations (not depicted) form a single integrated device 2-2 with the necessary combination of apparatus and methods comprising 3-5 and 2-2ba.

FIG. 5A is an image of a currently available (PRIOR ART) digital thermometer 2-3pa for which there are many manufacturers.

FIG. 5B, like FIG. 4E, shows the physical and functional combination of a further adapted digital thermometer 2-3dt with lip pulse detector 3-5, where the combination forms authenticating oral thermometer 2-3. Like breath analyzer 2-2ba, digital thermometer 2-3dt preferably comprises a combination fingerprint reader/heartbeat sensor 2-3-s1 for determining finger-heartbeat 2-h2 as well as apparatus for physically coupling and electronically engaging and/or otherwise communicating with lip pulse sensor 3-5 such that sensor 3-5 determines the time and duration of engagement, preferably used at least in part to trigger lip pulse 3-h4 measurement via the PPG sensor(s) 3-5-s1. Digital thermometer 2-3dt may also comprise electronic components for communicating with any of a primary wellness device such as smartphone and app 1-1 or smartwatch 1-2, 1-3. There are many possible arrangements and configurations of authenticating oral thermometer 2-3, where some combinations comprise a multi-part configuration including physically separable lip pulse unit 3-5 and digital thermometer unit 2-3dt, whereas other configurations (not depicted) form a single integrated device 2-3 with the necessary combination of apparatus and methods comprising 3-5 and 2-3dt.

DETAILED DESCRIPTION OF THE INVENTION

Referring first to FIG. 1A, person 10 is being authenticated by primary wellness device 1 including a computing device with camera (e.g., as the depicted smartphone) 1-1 executing an honest broker app (all as discussed in the prior related applications). There is a significant body of research addressing what is often referred to as “multimodal biometric personal identification,” wherein two or more forms of biometric identification are combined to increase overall accuracy. Even with a cooperating person in a constrained environment, facial recognition for example can be less than 100% accurate, exhibiting either false positives (indicating that images of two different individuals show the same person) or false negatives (the inverse problem). Worse yet, as indicated in a May 2020 NIST (National Institute of Standards and Technology) study that studies 189 software algorithms from 99 developers, “most programs exhibit different levels of accuracy depending on demographics, including sex, age, and racial background.” What is preferred is that multiple forms of biometric identification are implemented on device 1-1 for substantially concurrent person 10 identification, where the multiple forms of biometric identification include but are not limited to facial, fingerprint, voice or iris scan recognition. Using at least two forms of substantially concurrent person 10 biometric identification increases the overall accuracy of identification and therefore the “public trust” of the associated honest broker 1-1 “proof-of-health” status determined regarding person 10 (see also related PCT application), where it is noted that all of the aforementioned biometric identification methods are available in current marketplace for use with at least a smartphone or mobile computing device such as preferred for primary device 1-1.

Mobile devices such as smartphones often include what is referred to as a “home button” that includes a fingerprint reader. However, over the last several years, some manufactures such as Apple have done away with the home button (and with it fingerprint detection), shifting the full burden for personal identification to facial recognition. Furthermore, in a strict sense, even traditional mobile devices that include a fingerprint reader cannot conclusively confirm that the finger being scanned is both (1) of the same person being imaged for example using facial recognition, and (2) is a “live” finger as opposed to a forged or faked fingerprint.

Companies such as Qualcomm have produced mobile fingerprint/pulse sensors additionally capable of reading the fingerprint of person 10 while also detecting the presence of blood flow and a heartbeat within the finger of person 10, helping to address the “live” finger (2) problem.

The present invention teaches the use of a mobile fingerprint/pulse sensor 1-1-s in a mobile device such as 1-1 preferably combined with at least concurrent, or substantially concurrent facial recognition (as depicted in FIG. 1A). Furthermore, as described in the related PCT application, during the image processing performing the facial recognition, at least using a technology referred to as “remote photoplethysmography” (“rPPG”), it is possible to detect minor color variations for example in the person 10's cheeks for use in determining the person's heartbeat 1-h1. (It is also important to see that traditional use of a fingerprint reader, with or without simultaneous and spatially overlapping pulse detection such as provide by the Qualcomm readers, has been limited to confirming the identity of the smartphone/device operator, and has not been applied to the authentication of health measurements as discussed herein and in the related PCT application.)

Still referring to FIG. 1A, the primary device 1-1 adapted with sensor 1-1-s is first capable of determining traditional biometric facial and fingerprint recognition for the separate identification of person 10, but then further capable of comparing the face heartbeat 1-h1 with the finger heartbeat 1-h2, where sufficient correlation address the “same person's face and finger” problem (1) above. Just as with hacking of the fingerprint, for example by using a rubber finger with a forged replica fingerprint, it has been shown that facial recognition systems can be hacked using printed photographs of the person 10 to be hacked. By detecting heartbeats 1-h2 and 1-h1, both forms of fingerprint and facial hacking are thwarted, and thus the concurrent combination of techniques as described herein provides even greater system integrity and therefor public trust in any determined proof-of-health related to person 10.

Mobile device with honest broker app 1-1 can use additional forms of personal identification at least including audio/voice recognition and iris scan recognition, both technologies which currently exists in mobile devices such as smartphones. When doing audio/voice recognition, it is also preferred that the person 10 being authenticated is concurrently being imaged such that the personal ID comprises: 1) confirmation via facial recognition, 2) confirmation via voice recognition, and 3) matching of lip sync tracking between the facial images and the voice patterns. When doing iris scan recognition, it is also preferred that the image processing uses rPPG to determine the person 10's pulse from the iris or from the face surrounding the eyes, where then this iris pulse can for example be compared to any of the other body pulses such as the finger pulse 1-h2 being concurrently captured along with the fingerprint ID.

Still referring to FIG. 1A, it is also well-known that a heartbeat can be used as a form of authentication. This heartbeat “signature” is dependent upon the peaks and valleys of the ECG (electrocardiogram) wave itself and substantially independent of the pulse rate/temporal beat pattern, where these peaks and valleys have a relationship to the structure of the heart (see the publicly available medical literature). The present invention distinguishes this type of “body ID pattern (a)” (i.e., the heartbeat signature used as an ID), from a “comparison body pattern (b)” (i.e., the heartbeat timing/temporal beat pattern used to match and correlate disparate devices/sensors), where (a) typically requires increased measurement precision as compared to (b). There are companies currently in the marketplace such as Nymi that produce wearables designed for capturing a fingerprint for an ID (a), along with a heartbeat signature for an ID (a).

What is important to see is that there are many types (modalities) of body ID patterns (a) (again, face, finger, iris, voice, heartbeat) not limited to those presently discussed or even those currently known. Using substantially concurrent measurements of multiple modalities of body ID patterns (a), a single authenticating device such as mobile device 1-1 or wearable 1-2 increases the accuracy of person 10 authentication, both minimizing “FAR” (the “false acceptance rate” where two patterns (a) of the same modality are said to be of the same person 10 but are in fact of different individuals) while also minimizing “FRR” (the “false rejection rate” where two patterns (a) of the same modality are said to be of different individuals but are in fact of the same person 10). It is also important to see that two or more different devices can each be measuring a same or different modality of body ID pattern (a) for identification (such as face and/or finger), while also picking up a like modality comparison body pattern (b) for us in correlating IDs (a) (e.g., where (b) is a temporal pattern such as an on-going heartbeat that can be compared as a temporal beat that may be insufficient for uniquely identifying the person 10 as a pattern (a), but is sufficient for concluding that the two or more different devices are determining their ID patterns (a) of the same person 10). Furthermore, it is important to see that a primary device 1 can authenticate a person 10, such as by determining one or more IDs (a), but then can also determine a comparison pattern (b) (such as a heartbeat), while additional one or more other tertiary devices 3 are only capable of determining a comparison pattern (b) (such as a heartbeat), where the authentication of person 10 by determination of (a) by the primary device 1 is then extendable to authentication of health data collected by any of the one or more additional tertiary devices 3 by sufficient correlation of the common comparison pattern (b) (e.g., the heartbeat).

Still referring to FIG. 1A, is it not necessary that fingerprint/pulse sensor 1-1-s be integrated as a “home button.” New fingerprint readers have emerged that function underneath the screen or on the side edge of a mobile device such as 1-1. Techniques for adapting fingerprint reader technology to concurrently determine a pulse are well-know, with new technologies anticipated. What is important to see is that such a sensor 1-1-s, either integrated directly into mobile device 1-1, or integrated into a smartphone case (not depicted) that then secures to device 1-1 and is capable of electronic communication with device 1-1 (even drawing power from device 1-1), provides additional means useful for increasing the accuracy of authenticating person 10.

And finally with respect to FIG. 1A, primary device 1-1 is capable of determining at least one body ID pattern (a) such as (but not limited to) a facial recognition ID, iris recognition ID, voice recognition ID or fingerprint recognition ID, as well as at least one comparison body pattern (b) such as (but not limited to) face-heartbeat 1-h1 or finger-heartbeat 1-h2, where comparison patterns (b) are useful for confirming other secondary devices 2 and tertiary devices 3, all as will be discussed further, especially in relation to upcoming FIG. 2.

Referring next to FIG. 1B, there is shown a perspective view of a smartwatch 1-2 in both a top view (including watch band 1-2-b) and a bottom view showing sensor(s) 1-2-s2 for determining at least the wrist-heartbeat 1-h3 of person 10 currently wearing the watch 1-2. Typical well-known sensors for determining wrist pulse and other related information such as found in a traditional pulse-oximeter include photoplethysmography (PPG) devices (see FIG. 4C), also as discussed in the related PCT application. Many smartwatches are available in the market from brand names such as Apple, Fitbit, Garmin and Xiaomi, where smartwatches typically include a touch screen and enough processing power and communications to provide useful apps, especially in combination with a paired smartphone, such as usable for primary device 1-1. Many smartwatches also include sensors for not only determining pulse, but also other types of sensors for detecting movement and otherwise assessing exercise levels, sleep patterns or other health metrics.

The related PCT application showed how these many variations of wearables such as 1-2 (or other non-wearable primary devices such as mobile device 1-1) that determine one or more health metrics/measurements, could be further adapted to function as authenticated health tracking devices useable in combination with a private health status tracking technology. The technology and teaching of the combined related patents showed a private system for authenticating personal right-of-access (e.g., biometrically registered, and biometrically confirmed, thus authenticated ticket ownership) and/or proof-of-health (e.g., a biometrically registered on-going regiment of biometrically confirmed health measurements indicating a health status according to a public protocol, thus an authenticated health status). These authenticated right-of-access and/or proof-of-health were shown to be combinable with an access control system allowing a person to gain publicly trustable self-access to a premises or gathering without requiring pre-registry with the access control system, the sharing of personal identity, biometrics or other related data other than confirmation of compliance as tracked by the honest broker operating on the person 10's (non-wearable or wearable) primary device 1, such as 1-1 or 1-2.

Still referring to FIG. 1B, the related PCT application also taught that watch band 1-2-b preferably includes any of clasp “open/closed” detection technologies, (including for example the use of sensor(s) 1-2-s2 to sense skin/wrist proximity or electro, electro-mechanical means for determining the state of a mechanical clasp). In the present application, band 1-2-b has been further adapted to additionally include fingerprint (a) reader/heartbeat (b) sensor 1-2-s1, where the finger-heartbeat 1-h2 determined by sensor 1-2-s1, functioning as a comparison body pattern (b), is then comparable to wrist-heartbeat (b) 1-h3 such that upon sufficient correlation the fingerprint ID (a) captured by sensor 1-1-s1 is proven useable for personal authentication of the smartwatch measurements as “belonging to” or “being of” person 10 and as such the smartwatch with honest broker app 1-2 becomes a primary wellness device 1, like mobile device/smartphone and honest broker app 1-1.

What is important to see is that wearable 1-2 can determine both ID patterns (a) and comparison patterns (b). As a careful reading of the present invention and prior related applications will show, wearable 1-2 can work both in conjunction with another primary device such as 1-1, or independently given the ability for self-authentication using at least one pattern (a) such as the fingerprint determined by sensor 1-2-s1. Many variations of fingerprint reader/pulse detector 1-2-s1 are anticipated, where companies such as Qualcomm provide at least one solution. Those familiar with wearables will understand that while incorporated into a wristband 1-2-b, detector 1-2-s1 can be electrically connected to smartwatch 1-2 for example to receive power, be activated/deactivated, and to communicate detected data including the fingerprint scan(s) and finger heartbeat 1-h2 and related data. Alternative power, computing and communication arrangements are possible, as will be understood by those familiar with wearable technology.

Other variations of wearable 1-2 are possible without departing from the true scope and spirit of the invention, as will be apparent from a careful consideration of the present teachings, especially in consideration of wearable 1-2's ability to “pair” and “authenticate” (see FIG. 2) with another primary device, such as a smartphone 1-1. Given this paired arrangement, a person 10 can clasp a wearable such as 1-2 to their wrist, where wearable 1-2 omits sensor 1-2-s1 becoming a tertiary device 3 that is unable to self-authenticate, capturing neither a current fingerprint (a) nor finger heartbeat (b) 1-h2 of the person 10. However, using wrist sensors 1-2-s2, the now-tertiary wearable 1-2 can still determine a wrist heartbeat 1-h3 that can be confirmed during pairing and authentication by a primary wellness device such as smartphone 1-1, where confirmation for example includes correlating the wrist heartbeat 1-h3 with either or both of a face heartbeat 1-h1 or a finger heartbeat 1-h2 determined by the primary device 1-1.

In yet another possible variation of wearable 1-2, sensors 1-2-s2 for example can be further adapted to determine a heartbeat “ECG”/“EKG” signature of the person 10, where this heartbeat signature can serve as both a body ID pattern (a) and a confirmation body pattern (b). Current literature indicates that the heartbeat signature is accurate, but not as accurate as for example a fingerprint. None-the-less, this ECG/EKG technology may improve and otherwise the accuracy in some situations may be considered sufficient for then allowing the further adapted wearable to authenticate the person 10 using a heartbeat signature (a) captured by sensors 1-2-s2, rather than a fingerprint (a) captured by sensors 1-2-s1, (or a combination solution capturing both the heartbeat (a) and fingerprint (a) could be used to increase public trust and accuracy). Since a wearable such as a smartwatch 1-2 includes a user interface, it is also possible to accept a user password or similar, for combination with either or both the heartbeat (a) and the fingerprint (a) for personal authentication, after which heartbeat (b) can be used by the wearable 1-2 for pairing and authenticating with other companion devices (see FIG. 2).

Referring next to FIG. 1C there is shown a secondary wellness device 2 that is a wearable chest band 2-1 including further adaptations of a sensor 2-1-s1 for detecting a fingerprint (a) with associated heartbeat (b) 2-h2, like the adaptations to primary wellness devices 1-1 and 1-2. As prior stated, a secondary device 2 (like a primary device 1) can self-determine one or more (ID) (a) patterns for self-authenticating any health measurements determined by the secondary device 2, whereas unlike a primary device 1 a secondary device 2 is limited for example to not include the honest broker app functions such as maintaining an on-going health state with a net “proof-of-health” status (where those familiar with device computing and associated power requirements will understand the benefits of such limitations). However, as will be clear from a careful understanding, the distinctions of primary 1, secondary 2, and tertiary 3 devices are for instructive purposes and not meant to be strictly limiting. For example, a chest band 2-1 in some variants can be further adapted to be a primary device 1 or a tertiary device 3, and thus the present invention should not be limited by these exemplary device categorizations.

Still referring to FIG. 1C, chest band 2-1 was first described in the related PCT application that taught a chest band 2-1-b including “open/close” detectable lock 2-1-lck, and at least one sensor 2-1-s2 for detecting body cavity health data including heartbeat 2-h4. (The additional features and function of chest band 2-1, like other devices first discussed in the related PCT application, are useful and combinable with the teachings herein, even if not explicitly or implicitly referenced. For example, chest band 2-1 preferably includes power, computing and communication means for operating the one or more sensors such as 2-2-s1, 2-2-s2, 2-1-lck, and processing/communicating health data to presumably a primary wellness device such as 1-1 or 1-2.)

As with the discussion of advantages and uses for including sensor 2-1-s1 to preferably concurrently determine an body ID pattern (a) (such as a fingerprint) while substantially simultaneously determining a confirmation body pattern (b) (such as the finger heartbeat 2-h4), this further adaptation of the chest band 2-1 enables the band 2-1 to function as a secondary wellness device 2 (thus authenticating its own health measurements), and not just a tertiary wellness device 3 (for capturing health measurements with concurrent or pre-authenticated body patterns (b) but without ID patterns (a), all as will be well understood by a careful reading of the present invention and the related PCT application). Thus, further adapted chest band 2-1 is useful for both identification (a) of person 10 and the capturing and authentication of at least one health measurement relating to or “of” person 10, such as but not limited to resting heart rate, breathing patterns including shortness of breath, cough patterns, sleep patterns, etc.

Referring next collectively to tertiary wellness devices 3 as depicted in FIGS. 1D, 1E and 1F, there is shown respectively an example of: 1) a person 10 wearing clothing 3-1 comprising sensor(s) 3-1-s capable of sensing a confirmation body pattern (b) such as heartbeat 3-h4 along with at least one health measurement/metric, and 2) a person 10 wearing a body patch 3-2, 3) a person 10 standing on a smart scale 3-3, and 4) an exercise apparatus 3-4 for use by a person 10, where like clothing 3-1, each of body patch 3-2, smart scale 3-3 and exercise apparatus 3-4 are capable of determining person 10's heartbeat 3-h4 and at least one health measurement of person 10. Each of tertiary wellness devices 3-1, 3-2, 3-3 and 3-4 further comprise necessary power, computing and communications, all as will be well understood by those skilled in the art. Devices 3-1, 3-2, 3-3 and 3-4 should be considered as exemplary rather than limiting of tertiary devices 3, as many other possible arrangements, configurations, forms, etc., are possible. For example, the related PCT application as well as upcoming FIGS. 4D, 4E and 5B show other secondary 2 and tertiary 3 wellness devices, where again the “primary vs. secondary vs. tertiary” distinction is instructive and non-limiting and where modifications can be made to virtually any primary 1, secondary 2 and tertiary 3 wellness device to cause it to function as another respective classification according to the definitions provided herein.

Referring specifically to FIG. 1D, a significant amount of research and development is producing new types of wearables, either integrated into clothing, shoes, hats, etc., or designed to be fit directly onto the body, ranging from a smartwatch (that fastens, holds around a body part) to a patch (that fastens, sticks to a body part), or even a sensor/device being inserted into the body such as fully or partially under the skin. Some devices are referred to as “biosymbiotic devices” and can be 3D printed based upon 3D scans of the person 10's body, thus providing more comfortable/custom fits supporting longer wear time with commensurate health measurement data collection. Biosymbiotic devices pioneered by engineers at the University of Arizona “can operate continuously using a combination of wireless power transfer and compact energy storage” (see the article “Biosymbiotic Devices: 3D-Printed Personalized, Wireless Wearables That Never Need a Charge” dated Oct. 21, 2021 in the SciTechDaily). The prior related PCT application as well as the present teachings show that any such devices can become tertiary devices 3.

As a careful consideration of the present application and the related PCT application will show, to function as extended-use tertiary devices 3, some wearable device 3's will require sensor means to confirm the state of “clasped,” “attached,” “affixed,” etc., versus the opposite state. As a careful consideration will also show, any wearable device 3 will need to determine a body pattern (b) (such as a heartbeat) for comparison with a like body pattern (b) preferably captured by a companion primary device 1 (see also FIG. 2 for more detail). Furthermore, by adding body ID pattern (a) detection to such a wearable, any of these devices can be further enabled to function as a secondary devices 2, where then further adapting these same now secondary devices 2 into primary devices 1 will be considered as possible but less desirable in comparison to providing means for the secondary devices 2 (or tertiary devices 3) to electronically communicate with primary devices 1, such that primary devices 1 perform the bulk of regiment processing and proof-of-health determination (see especially the related PCT application). Regarding adding body ID pattern (a) detection to such device 3 wearables, the same heartbeat patterns that can function as a confirmation body pattern (b) can be used at some level of measurement as a body ID pattern (a) (as will be understood by those familiar with electrocardiogram (ECG, EKG) biometrics), where a careful consideration will show that heartbeat information is more readily available to most wearables such as “biosymbiotic devices,” as opposed to using facial, fingerprint, audio, iris, etc., recognition.

And finally, with respect to FIGS. 1A, 1B, 1C, 1D, 1E and 1F, as well as the upcoming FIGS. 2, 3A, 3B, 3C, 4D, 4E, and 5B, secondary 2 and tertiary 3 wellness devices preferably provide data to a primary wellness device 1-1, 1-2 (or 1-3, see FIG. 3B) that is capable of executing the functions of the intermediary app/“honest broker” as taught in the related applications especially including the PCT application in relation to “proof-of-health” for interacting with an access control system.

Referring next to FIG. 2 the is shown a flowchart of the preferred steps (100 through 114) for authentication of a primary device 1, such as non-wearable mobile device 1-1 or wearable smartwatch 1-2 (or 1-3, see FIG. 3B), followed by the collection of health measurements by the authenticated primary device 1. In step 100, “lockable primary device?”, the intermediary app/“honest broker” executing on the primary devices such as 1-1 or 1-2 determines if the primary device 1-1 or 1-2 is “not lockable” (such as smartphone 1-1, which is not a wearable) or “lockable” (such as smartwatch 1-2, which is a wearable), all as first taught in the related PCT application. If the devices is “lockable” (by any of several means discussed in the related PCT application, or as currently known in the art or would be reasonably devised by a person skilled in the art for the purposes stated herein), then the person 10 either knows to or is instructed to lock the device 1 in step 102 “set to locked state” (e.g., by clasping a wearable such as smartwatch 1-2 around their wrist), where once locked the device such as 1-2 is then able to proceed to the step 104 to “determine primary authentication.” As was discussed in the prior and related PCT application, a lockable device such as 1-2 is capable of “taking on-going measurement(s)” (in step 110) up until the time the locked primary device is determined to be “set to (an) unlocked state” (in step 112). Prior to steps 110 and 112, after step 102, a locked primary device such as smartwatch 1-2 is preferably authenticated in step 104 (“determine primary authentication”), which is also the next step for a primary device such as smartphone 1-1 that was determined to be “lockable primary device?”=“no” in step 100.

In step 104, the primary device 1 (e.g., but not limited to 1-1, 1-2) uses any of many possible technologies and methods to determine at least one body pattern (a) for (ID), such as but not limited to facial recognition, fingerprint (both depicted), audio/voice recognition, or iris scan (all readily achievable using existing and well-known technology). Many additional body pattern (a) for (ID) technologies exist, such as but not limited to palm prints and heartbeat “signatures” (both readily achievable but not commonly implemented on devices such as 1-1 or 1-2). Regardless of the one or more methods chosen, where for example a smartphone 1-1 preferably determines a combination of body IDs (a) using facial recognition, voice recognition and fingerprint analysis (via sensor 1-1-s), and where for example the smartwatch 1-2 determines a body ID (a) via fingerprint analysis (via sensor 1-2-s1), the net result is that at least one “current” person 10 biometric (such as the face, finger, iris or voice pattern (a)) is captured for comparison to a “registered” person 10 biometric, all as discussed in the prior related applications. Upon sufficient matching of a current biometric with a prior captured and registered biometric, the person 10 is determined by the honest broker executing on the primary device 1 to be sufficiently authenticated (see prior related applications for a greater understanding).

Still referring to FIG. 2, after step 104, a “not lockable” primary device such as smart phone 1-1 may proceed to “take a concurrent measurement(s)” in step 108 (whereas, as prior discussed, a lockable device such as smartwatch 1-2 may proceed to “take on-going measurement(s)” in step 110). In step 108, as will be appreciated from a careful consideration of the present and prior related teachings, it is beneficial for gaining “public trust” that any one or more health measurements determined by a “not lockable” device such as 1-1, are determined substantially simultaneously (i.e., “concurrently”) with the authentication of device 1-1 (in step 104). If this was not the case, it would be possible for a given person 10 to authenticate a “not lockable” device such as smartphone 1-1 (step 104) and then to transfer the device 1-1 to another person (not-10) to determine a health measurement of person not-10 in step 108, thus without this concurrency step 108 is not “publicly trustable” as a method for ensuring that health measurements are being taken “of” person 10.

As a careful consideration of the prior and current teachings will show, it is also desirable that the health measurement(s) taken in step 108 are taken from the body surface being used to confirm the body pattern (a) ID. As a contrary (“not publicly trustable”) example, a smartphone 1-1 captures one or more images of person 10 (using its front-facing “selfie” camera) for use in facial recognition (a) during step 104, while concurrently a person (perhaps 10 or not-10) places their finger over the back facing camera, for example to get a measurement of blood-pressure. As a careful consideration will show, the primary device 1-1 authenticating person 10 has no sufficient way to simultaneously confirm that the (health) measurement of blood pressure also relates to person 10. However, if primary device 1-1 or 1-2 is at least using a sensor such as 1-1-s or 1-2-s1, respectively, the device 1-1 or 1-2 can determine a body pattern for ID (a) off the person 10's fingertip while also determining a health metric (such as blood pressure, pulse, oxygenation levels and even body temperature (see upcoming FIGS. 3A and 3B) concurrently and importantly off the same fingertip of person 10's.

Still referring to FIG. 10 and the concurrent combination of steps 104 and 108, in another arrangement smartphone 1-1 captures a facial image of person 10 for body pattern (a) ID analysis, while also determining a health metric using the same facial image data, where for example a health metric could be the person's current pulse determined using rPPG as discussed both in the prior related PCT application and herein. Two things are important to see. First, for a non-lockable primary device such as a smartphone 1-1, determining a health measurement in step 108 that is “publicly trustable” is preferably done using in part at least the same dataset used for determining the body pattern ID (a). Second, in practice, image analysis is a possible (for example wound analysis) but not typically preferred method for determining health measurements, which is why many wellness devices available in the marketplace do not use cameras and are not based upon image analysis. It is also useful to understand that while some smartphones 1-1 still retain a fingerprint sensor, many such as an iPhone do not, and thus sensor 1-1-s would be an adaptation. Furthermore, while fingerprint sensors 1-1-s do exist in the marketplace that are capable of also determining at least a person 10's pulse/heartbeat, these sensors where primarily conceived of as a means for combating fingerprint faking, where for example a rubberized finger with a forged print is presented to a traditional fingerprint reader. As a careful consideration will show, by also sensing for a pulse using sensor 1-1-s or 1-2-s1, it is possible to determine a body ID pattern (a) for authentication of health measurements, to detect a fake fingerprint being presented for example by a rubber finger, to determine a confirmation body pattern (b) for authentication and pairing (see upcoming steps 106-1 through 106-3), and then to possibly further determine at least one health metric (such as blood pressure).

It is noted that the present invention anticipates a new use for sensors such as 1-1-s and 1-2-s1 that combine fingerprint detection with pulse detection, where the new use is to concurrently determine, from the same “publicly trustable” person 10 body surface, a body pattern ID (a) (i.e., the fingerprint), a body confirmation pattern (b) (i.e., the finger heartbeat 1-h2), and zero or more person 10 health measurements. There are other usable alternative fingerprint detection technologies (for example an ultrasonic “3D” fingerprint reader from Qualcomm) developed for determining the fingerprint from a location underneath a portion of the screen area on a device such as 1-1 or 1-2 (sometimes referred to as an “in-screen” fingerprint reader). The present application anticipates using a form of “in-screen” PPM combined with “in-screen” fingerprint detection, such that sensor 1-1-s or 1-2-s1 could located underneath the respective device 1-1, 1-2's screen.

Still referring to FIG. 2, as a careful consideration of the prior related PCT application and the present teachings will show, using a “lockable” primary device such as wearable smartwatch 1-2 (as opposed to smartphone 1-1), it is possible to determine “publicly trustable” health measurements of the person 10 (step 110) that are not necessarily taken concurrently with the identification/authentication step 104 of person 10. However, as a careful consideration will also show, many useful health measurements available from many existing wellness devices or from anticipated new technologies that will eventually be incorporated into wellness devices, are desirable for authenticating as a part of a publicly-trustable proof-of-health regiment/self-access system, all as first described in the related PCT application. Given this consideration, it is preferable that a not-lockable or lockable primary device 1, such as 1-1 or 1-2 respectively, be able to interface with secondary 2 and tertiary 3 wellness devices for the purpose of further obtaining and authenticating these additional possible health measurements.

In step 106-1, a primary device 1 electronically pairs with a secondary 2 or tertiary 3 wellness device, where communication pairing is well-known in the art. Either prior to or preferably after pairing, “companion” wellness devices 2 or 3 determines and makes known to the primary device 1 if the device 2 or 3 is a “lockable companion device?” in step 200, as well as other pertinent information such as but not including the type of device, types of health measurement(s), as well as the type(s) of confirmation body pattern (b) (such as a heartbeat 2-h4 or 3-h4) that the device 2 or 3 is capable of determining and providing. If the device 2 or 3 is lockable, for example it is a wearable such as a chest band 2-1, then either automatically or preferably under the request of the primary device 1 the person 10 is directed to lock the device 2 or 3 in step 202, resulting in the determining of an affirmative “set to locked state” being provided by device 2 or 3 to primary device 1 also in step 106-1.

In step 106-2 “determine pair confirmation pattern A,” primary device 1 then determines a confirmation (b) body pattern “A”, such as a face heartbeat 1-h1 using rPPG, or a finger heartbeat 1-h2 using PPG embedded in sensor such as 1-1-s or 1-2-s1. As taught in the prior related PCT application, and as will be understood from a careful consideration of the present teachings, it is also preferable that the confirmation (b) body pattern A, such as 1-h1 or 1-h2, be taken from a body surface that is concurrently being examined by the primary device for the determining of the body ID pattern (a), such as via facial recognition or fingerprint recognition, respectively. Also preferably concurrent, the paired companion device 2 or 3 in step 206-2 “determine pairing confirmation pattern B” determines and communicates to device 1 a confirmation (b) body pattern “B”, such as a finger heartbeat 2-h2 or a body heartbeat 2-h4 or 3-h4, where confirmation (b) body pattern B is of a type that is comparable to confirmation (b) body pattern A being captured by the primary device 1.

In step 106-3 “confirm pairing confirmation A/B match,” the primary device 1 compares confirmation (b) body pattern A captured by primary device 1 with confirmation (b) body pattern B captured by the companion device 2 or 3, whereupon sufficient correlation the companion device 2 or 3 is considered by primary device 1 to be “authenticated,” and hence any health measurements “taken and communicated” by the companion device 2 or 3, either substantially concurrently in step 208 because the companion devices is “not lockable,” or anytime in step 210 for a companion device that is “lockable” and remains locked (thus the measurements of step 210 are taken prior to the determination of being “set to unlocked state” in step 212).

And finally with reference to FIG. 2, as will be appreciated by those skilled in the art of devices and algorithms, the steps presented can be combined with each-other or other new steps, or the steps can be limited (for example excluding the use of not-lockable devices), and some steps can even be omitted, where for example step 108 may not be necessary for some types of primary devices 1. Thus, the flowchart provided in FIG. 2 should be considered as exemplary of a preferred use and embodiment of the present invention, but not as limiting the invention to the specific steps or even the specific order of steps, as other flows will be apparent to those skilled in the necessary arts where these other flows remain within the anticipated scope and spirit of the invention.

Referring next to FIG. 3A, there is shown finger worn device 3-1-d9 as first described in the related PCT application. In the PCT application, finger worn device 3-1-d9 was taught in multiple configurations, where a preferred configuration included heart rate and blood oxygenation sensor, a skin temperature sensor, skin galvanic (electrical) response sensor(s), ambient sensors for sensing for example humidity, temperature, and light levels as well as a light emitter such as an LED for use in what the PCT application referred to as “light signaling” as a means of device and device measurement authentication. While alternate implementations of the finger worn device can be “wireless” including their own power and computing means, a configuration as described in the PCT application and presently shown used a wired means for receiving power and communication signals from a primary device 1 such as a smartphone and honest broker app 1-1, where the processing of health data captured by the finger worn device 3-1-d9 was preferably accomplished on the primary device 1, thus making device 3-1-d9 a tertiary device 3 in the terms of categorization being presently taught. Still other variations of finger worn device 3-1-d9 were taught in the related PCT application to include a fingerprint body pattern (a) sensor, where this ID-capable variation as prior taught is a secondary device 2 implementation of the finger worn device.

Referring next to FIG. 3B there is shown alternative smartwatch 1-3 that preferably but not necessarily includes all of the apparatus and teachings of smartwatch 1-2 and has been further adapted to include any one of or any combination of sensors and teachings with respect to finger worn device 3-1-d9 (see related PCT application for further discussion), preferably at least including a touch/skin temperature sensor (again, see the related PCT application teaching and purposes) incorporated as sensors 1-3-s3, where sensors 1-3-s3 are preferably substantially collocated with fingerprint reader/heartbeat sensor 1-3-s1 (where sensor 1-3-s1 is like sensor 1-2-s1 discussed in relation to FIG. 1B).

By including a touch/skin thermometer 1-3-s3, alternative smartwatch 1-3 can then be used to accomplish at least some of the purposes taught with respect to a finger worn device such as 3-1-d9 in the related PCT application (in particular, the reading of personal body temperature off the forehead in relation to a public regiment, see also upcoming FIG. 3C). By further including galvanic (electrodermal skin) response sensors (all as taught in the PCT application, especially in relation to a finger worn device such as 3-1-d9), additional assurances can be determined with respect to the veracity of the skin temperature measurement, for example by comparing the current electrical condition (resistance, capacitance) of person 10's temperature touch-point (such as the forehead) with a pre-determined baseline. Other preferred added sensors 1-3-s4 measure ambient humidity, temperature, and light levels, and as was discussed in the related PCT application, are also useable to ensure the veracity of any given current skin temperature measurement of a person 10. Alternative smartwatch 1-3 preferably also includes wrist sensors 1-3-s2 (like sensors 1-2-s2 of device 1-2) for determining a wrist heartbeat 1-h3, all as prior discussed especially in relation to FIG. 1B.

Modified smartwatch 1-3 optionally includes a light emitting means such as an LED 1-3-led for use in the line-of-sight authentication process as described in the PCT application. However, as a careful consideration of the teachings provided herein regarding smartwatch 1-2 (see especially FIG. 1A) will show, since smartwatch 1-2 has been further adapted to include fingerprint reader/heartbeat sensor 1-2-s1, smartwatch 1-2 (and therefore also modified smartwatch 1-3, through the use of like fingerprint reader/heartbeat sensor 1-3-s1) can “self-authenticate”(thus being a primary device 1), without needing a primary device 1 such as a smartphone 1-1 to accomplish authentication, for example using line-of-sight “light signaling,” and as such light emitting means LED 1-3-led is useful for additional authentication accuracy, but not mandatory for authentication.

Still referring to FIG. 3B, the marketplace has attempted to put at least ambient temperature sensors into smartphones such as used for a primary device 1-1. Typically, the internal heat generated by the smartphone itself has made these ambient temperature sensors less reliable.

Attempting to add a skin contact/personal temperature sensor (such as depicted in FIGS. 3A and 3B and as discussed in the related PCT application) into a primary device 1-1 implemented with a smartphone is also anticipated to be problematic for at least two reasons: 1) temperature sensing reliability due to the internal heat at times being created by the smartphone, similar to the problems with the ambient temperature sensors, and 2) having an ideal section of surface area on the smartphone to comprise the touch sensor that is both convenient for touch for example to the forehead, and otherwise preferably does not reduce or interfere with the screen/display area, all as will be appreciated by those familiar mobile devices such as smartphones.

However, adding a touch temperature sensor to a wrist wearable primary device 1 such as smartwatch 1-3 does not suffer either of these two disadvantages as will be more apparent from a careful consideration of upcoming FIG. 3C. Touch/skin temperature sensor (along with optional galvanic response sensors) comprising sensors 1-3-s3 can be situated on/incorporated “into” the band 1-3-b of device 1-3 so as to be sufficiently separated from the electronics (and any corresponding heat buildup) associated with the computing elements of the smartwatch 1-3, while not interfering with the screen/display area and yet still electrically connected to smartwatch 1-3, and while also being conveniently positioned on the band 1-3-b so that touching to a body-point of person 10 such as the forehead is easily accomplished.

Regarding the sensing of body temperature, touch sensors currently have at least two key advantages over remote (non-touch) sensors, specifically: 1) by touching the skin the temperature reading will on average be more accurate, and 2) remote sensors typically rely upon IR imagers that are not easily integrated into smartphones (and thus are typically found as standalone devices/“IR temperature guns”). However, new research and development led by Dr. Won Jun Choi of the Center for Opto-Electronic Materials and Devices in the Korea Institute of Science and Technology (KIST) is demonstrating that it is possible to create a thermal-imaging sensor that overcomes the problems (such as heat buildup, device costs) currently restricting the use of thermal imaging sensors in smartphones (such as used in device 1-1).

The present invention anticipates that primary devices 1 will at some future date be able to accomplish the combination of 1) determining body pattern ID (a) for example using facial recognition, 2) determining confirmation body pattern (b) such as a facial heartbeat 1-h1 using rPPG, and 3) determining an accurate body temperature for example from the forehead, all using spatially collocated data (i.e., a single image or stream of images) from one or more image sensors, where if multiple sensors the fields-of-view of the sensors are substantially and sufficiently overlapping. As will be understood by those familiar with the necessary arts and smartphone imaging sensors, (1) and (2) above are already available as is (3) to some less reliable extent. Hence (3), determining an accurate body temperature using a smartphone embedded imaging sensor is expected to be better enabled in the future by the new types imaging sensors being developed as prior mentioned. Thus, providing a touch-based spatially collocated sensor capable of determining (1), (2) and (3), such as substantially spatially collocated sensors 1-3-s1 and 1-3-s3 offers the novel ability to determine a bio-ID (a) (in this case a fingerprint), a bio-pattern (b) (in this case a finger heartbeat) and a bio-health-metric (in this case the finger temperature) over substantially simultaneous same duration of time. Those familiar with the accuracy of sensing body temperatures will recognize that the finger temperature is not as accurate a measure of the core body temperature as the forehead, let alone other even more internal areas of the body (such as the mouth, see FIGS. 5A and 5B).

Referring now to FIG. 3C, this same combination of spatially collocated sensors 1-3-s1 and 1-3-s3 can be used in a sequential manner to first determine the body ID pattern (a) (a fingerprint) along with body confirmation pattern (b) (the finger heartbeat 1-h2) and then to second determine for example a forehead temperature using skin temperature sensor 1-3-s3 along with a body confirmation pattern (b) (such as forehead heartbeat 1-h4 determined using sensor 1-3-s1 or wrist heartbeat 1-h3 using sensor 1-3-s2), where then first heartbeat 1-h2 can be compared to a second heartbeat 1-h3 or 1-h4 for authentication. As will also be understood from a careful consideration, it is possible to use smartwatch 1-3 to touch a surface that is not the skin of the person 10 that is wearing the watch 1-3, and for this reason it is taught to substantially simultaneously detect a heartbeat (such as forehead heartbeat 1-h4) from the same (substantially spatially collocated) skin contact point (such as person 10's forehead), while than also preferably substantially simultaneously detecting a second confirmation heartbeat (such as wrist heartbeat 1-h3 using sensors 1-3-s2) so that the comparison of contemporaneous heartbeats 1-h4 and 1-h3 provides the authentication for the measured (e.g., forehead) temperature.

Still referring to FIG. 3C, it is also possible to use alternative smartwatch 1-3 in contemporaneous combination with smartphone 1-1, where smartphone 1-1 with honest broker app is confirming person 10 via facial recognition (thus a body pattern ID (a)) while also determining a confirmation body pattern (b) (i.e., that facial heartbeat 1-h1), where then 1-h1 is comparable to (forehead) skin heartbeat 1-h4 to provide authentication for the measured (e.g., forehead) temperature (see the teachings of the related PCT application for more discussion on “authentication of health measurements”). An advantage of this combination use of 1-1 with 1-3 is that smartwatch 1-3 would then not require a fingerprint reader sensor 1-3-s1, although smartwatch 1-3 would still require a pulse sensor for determining 1-h4 that is preferably collocated with the skin temperature sensor 1-3-s3, where then the careful reader will understand that alternative smartwatch 1-3 is acting as a tertiary device 3, rather than a self-authenticating primary device 1.

In this combination use of 1-1 with 1-3, light emitter 1-3-led can also be used to engage with line-of-sight light-signaling between smartphone 1-1 and smartwatch 1-3, thus providing another form of authentication (as compared to body pattern (b) confirmation between 1-h1 and 1-h4). Thus, the careful reader will see that there are several possible variations of alternative smartwatch 3-1, for use alone or in combination with smartphone 1-1, each variation providing different advantages and tradeoffs, and as such the present application should not be limited to the exemplary depictions (such as the present FIG. 3C). The careful reader will also see that there are several variations of methods for ultimately determining an “authenticated health measurement” that is a skin temperature measurement of person 10 (as depicted). For example, the smartphone device 1-1 could use the finger heartbeat 1-h2, in combination or instead of face heartbeat 1-h, to be the confirmation body pattern (b) for comparing with either or both of 1-h3 or 1-h4.

Referring next to FIG. 4A there is shown a PRIOR ART type of a breath analyzer 2-2pa, where the breath analyzer is used to detect what are known as “keytones,” (all as first discussed in the prior related PCT application). There are many types and purposes for breath analyzers such as 2-2pa, for example some analyzers are used to determine blood alcohol levels, and where many new types of important health information are anticipated to be determined from the processing of a person 10's breath as technology and the health marketplaces naturally move forward. What is important to see is that the present teachings especially related to FIG. 4A through FIG. 4E teach a new means for determining “authenticated health measurements” (see related PCT application) from breath analysis of a person 10, regardless of the type of breath analysis.

Referring next to FIG. 4B there is shown the face of a person 10 superimposed with a medical graphic of the human facial arteries. Of note are the arteries referred to as the “superior labial artery” 1-sla that runs horizontally across the upper lip and the “inferior labial artery” (not labeled) that runs horizontally across the lower lip. Both arteries are considered in the present teachings to be sufficient for supporting the determination of a person 10's lip heartbeat 3-h4 (see FIG. 4D) to be used at least as a body confirmation pattern (b), although going forward in the current specification the teachings will focus solely on the upper lip and superior labial artery 1-sla.

Referring next to FIG. 4C there is shown well-known (PRIOR ART) photoplethysmography (PPG) apparatus including the “transmission type” 10-ppg1 and the “reflection type” 10-ppg2. The prior related PCT application discusses PPG sensors in more detail, while there are also significant teachings available in the public domain. For the present application, either type 10-ppg1 or 10-ppg2 can be implemented to accomplish the goal of determining a person's confirmation body pattern (b) through detection of a pulse/heartbeat preferably from either or both the upper or lower lip areas, but otherwise in the area of the mouth that is consistent with the use of a breath analyzer, although going forward in the current specification the teachings will focus solely on the use of reflective type PPG 10-ppg2 used to determine the lip heartbeat 3-h4 from the upper lip.

Referring next to FIG. 4D there is shown a perspective view of lip pulse detector 3-5 used for (1) determining a current lip heartbeat 3-h4, (2) communicating with a companion health measurement device (such as a breath analyzer 2-2ba shown in FIG. 4E or a digital thermometer 2-3dt shown in FIG. 5B), and (3) communicating with a primary device 1 such as a smartphone 1-1 or smart watch 1-2, 1-3. Lip pulse detector 3-5 preferably comprises a mouthpiece 3-5-mp comprising a PPG lip pulse sensor 3-5-s1, where mouthpiece 3-5-mp is constructed to include coupling means 3-5-c for physically coupling with the companion health device (such as breath analyzer 2-2ba or digital thermometer 2-3dt), where many shapes, forms and materials used for mouthpiece 3-5-mp are possible and many shapes, forms and materials used for coupling means are possible, such that the present teachings should not be unnecessarily limited based upon the current depictions of FIG. 4D.

In the present depiction, lip pulse sensor 3-5-s1 for (1) determining the current lip heartbeat 3-h4 is shown as situated on a vertically aligned portion of the mouthpiece 3-5-mp that is expected to come into contact with the upper lip of person 10 during use. As will be understood by those familiar with PPG sensors and the human mouth, many possible arrangements for either preferred PPG sensor 10-ppg2 (reflective type) or sensor 10-ppg1 (transmission type) are possible, and therefore the present invention should not be unnecessarily limited to the present exemplary depiction. What is important to see is the lip pulse detector 3-5 includes means for and is constructed to enable the capturing of a current confirmation body pattern (b), such as the lip heartbeat 3-h4.

In the present depiction, coupling means 3-5-c are portrayed as a cavity within mouthpiece 3-5-mp through which the companion device (such as 2-2ba or 2-3dt) may be inserted and withdrawn (i.e., in some fashion engaged, coupled, aligned or otherwise properly situated for accomplishing the intentions described herein, where many variations are possible), where electronic physical-contact means (not depicted) are preferably provided within the cavity for supporting communication (2) between the lip pulse detector 3-5 and the companion device, such as 2-2ba or 2-3dt. Many such electronic physical-contact means are known in the art, where it is also possible to use electronic non-contact means, for example where detector 3-5 communicates wirelessly with the companion device such as 2-2ba or 2-3dt, and therefore the present invention should not be unnecessarily limited to the present exemplary depiction and preferred description.

It is even possible that no direct means for communication (2) between the lip pulse detector 3-5 and a companion device (such as 2-2ba or 2-3dt) are provided, where for example both detector 3-5 and any companion device instead individually communicate (3) with a primary device 1, where then the primary device 1 relays any information or signaling between device 3-5 and a companion (such as 2-2ba or 2-3dt) that would be necessary, all as will be well understood by those familiar with electronic devices and communication and control between electronic devices. What is important to see is that lip pulse detector 3-5 can minimally determine and provide a current confirmation body pattern (b) such as lip heartbeat 3-h4 for use by any one of or any combination of a companion health device such as 2-2ba or 2-3dt or a primary device such as 1-1, 1-2 or 1-3.

What is also important to understand is that while the current teachings provide for a modular design that separates lip pulse detection into a single physical unit 3-5 for coordination with other possible distinct devices for making health measurements such as breath analysis (device 2-2ba) or oral temperature (device 2-3dt), it is also possible to create a single integrated unit that for example analyzes the breath of person 10 while also determining a current heartbeat such as lip pulse 3-h4 (preferably from the outside or inside mouth region), when then further also preferably, but not necessarily or at least not necessarily in real-time, communicating with a primary wellness device 1, as many arrangements are possible without departing from the true spirit and teachings provided herein.

Referring next to FIG. 4E, there is depicted lip pulse detector 3-5 being used in combination with a companion breath analyzer 2-2ba, where analyzer 2-2ba is preferably physically and electronically coupled with detector 3-5 so as to function in coordination, in some sense as a single integrated unit which is an alternate possible construction as previously mentioned. Person 10 preferably inserts the breath input opening of analyzer 2-2ba into the cavity 3-5-c of detector 3-5, after which devices 3-5 and 2-2ba are in communication, either directly and/or indirectly via a primary wellness device such as 1-1, 1-2 or 1-3. The purpose of this depicted arrangement, and any of many possible alternatives, is to provide means for determining an authenticated health measurement based at least in part upon samples of the person 10's current breath, for which many possible health measurements are already known and will become known, all of which are considered to fall within the scope of the present invention.

As a careful reading of the present invention as well as the related PCT application will show, there are many ways of providing authentication ensuring that any of health measurements sampled, sensed, or otherwise determined by an oral cavity examination device such as breath analyzer 2-2ba are “of” a person 10. An oral examination device such as 2-2ba senses and determines one or more breath detectable characteristics of person 10, where other variations of an oral examination device might alternatively or in combination process a saliva sample or body temperature to determine at least one health measurement. Any of authenticated health measurement(s) determined and authenticated by the combination of at least lip pulse detector 3-5 and breath analyzer 2-2ba, in any of many possible configurations including as an single device, with or without the concurrent interaction of a primary device 1, can then be associated with the health data and any zero or more health regiments being processed by the intermediary (“honest broker”) app executing on a primary wellness device 1 such as 1-1, 1-2 or 1-3 (see FIG. 2).

As depicted, in one configuration breath analyzer 2-2ba is further adapted with a fingerprint/heartbeat sensor 2-2-s1 (like sensors 1-1-s, 1-2-s1, 2-1-s1 and 1-3-s1) such that person 10 is preferably identified by a body ID pattern (a) (fingerprint) while substantially simultaneously at least one health measurement is determined based at least in part upon breath from person 10 being input by the analyzer 2-2ba, while also substantially simultaneously a first (A) confirmation body pattern (b) (finger heartbeat 2-h2) is determined by the analyzer 2-2ba while a second (B) confirmation body pattern (b) (lip heartbeat 3-h4) is determined by the analyzer lip pulse detector 3-5, whereupon sufficient correlation of patterns (A) and (B), the substantially concurrent health measurement(s) of analyzer 2-2ba are deemed as authenticated to be “of” person 10.

Still referring to FIG. 4E, a careful consideration will show many possible ways for assuring that any health measurement determined by analyzer 2-2ba based upon currently input breath is authenticatable to be “of” a person 10, especially in consideration of the cooperation between devices 3-5, 2-2ba and a primary wellness device 1. Therefore, the present depiction and associated teachings should not be considered as unnecessarily limiting, but rather as exemplary. For example, it is possible that analyzer 2-2ba (portrayed as a self-authenticating secondary device 2) omits fingerprint/heartbeat sensor 2-2-s1, where the determined current coupling between analyzer 2-2ba provides assurance the that current lip heartbeat (3-h4) (B) determined by companion lip pulse detector 3-5 is combinable for authentication with health data determined by analyzer 2-2ba, where then this authentication is provided by a primary device 1 that is concurrently confirming both a body ID pattern (a) and a first (A) confirmation body pattern (b), where a sufficient correlation between patterns (A) and (B) allows for authentication. Again, there are many possible arrangements all within the anticipated scope and spirit of the present invention, including that the combination of two separate devices 3-5 and 2-2ba are implemented as a single integrated unit.

Referring next to FIG. 5A there is shown a PRIOR ART type of oral digital thermometer 2-3pa, where the oral thermometer 2-3pa is used to detect a current body temperature (all as first discussed in the prior related PCT application). The oral device 2-3pa should not be limited to determining a body temperature, where device 2-3pa being inserted into the mouth can also contact the skin and at least the bodily fluid of saliva, and where this other skin contact, or saliva contact/input, can at least in part be useful for determining a health measurement. What is important to see is that the present teachings especially related to FIG. 4A, 4B, 4C, 4D, 4E, 5A and FIG. 5B teach new means for determining “authenticated health measurements” (see related PCT application) from an oral sampling of a person 10.

Referring next to FIG. 5B there is depicted the combination of the lip pulse detector 3-5 being used in combination with a companion oral digital thermometer 2-3dt, where thermometer 2-3dt is preferably physically and electronically coupled with detector 3-5 to function in coordination, in some sense as a single integrated unit which is an alternate possible construction as previously mentioned. Person 10 preferably inserts the oral temperature sensing “distal” end of thermometer 2-3dt into the cavity 3-5-c of detector 3-5, after which devices 3-5 and 2-3dt are in communication, either directly and/or indirectly via a primary wellness device such as 1-1, 1-2 or 1-3. The purpose of this depicted arrangement, and any of many possible alternatives, is to provide means for determining an authenticated health measurement based at least in part upon samples of the person 10's oral cavity, for which many possible health measurements are already known and will become known, all of which are considered to fall within the scope of the present invention.

As a careful reading of the present invention as well as the related PCT application will show, there are many ways of providing authentication ensuring that any of health measurements sampled, sensed, or otherwise determined by an oral cavity examination device such as thermometer 2-3dt are “of” a person 10. An oral examination device such as 2-3dt senses and determines the body temperature of person 10, where other variations of an oral examination device might alternatively or in combination process a saliva sample to determine at least one health measurement. Any of authenticated health measurement(s) determined and authenticated by the combination of at least lip pulse detector 3-5 and thermometer 2-3dt, in any of many possible configurations including as a single device, with or without the concurrent interaction of a primary device 1, can then be associated with the health data and any zero or more health regiments being processed by the intermediary (“honest broker”) app executing on a primary wellness device 1 such as 1-1, 1-2 or 1-3.

As depicted, in one configuration thermometer 2-3dt is further adapted with a fingerprint/heartbeat sensor 2-3-s1 (like sensors 1-1-s, 1-2-s1, 2-1-s1, 1-3-s1 and 2-2-s1) such that person 10 is preferably identified by a body pattern (a) (fingerprint) while substantially simultaneously at least one health measurement is determined based at least in part upon the oral cavity temperature being sensed the thermometer 2-3dt, while also substantially simultaneously a first (A) confirmation body pattern (b) (finger heartbeat 2-h2) is determined by the thermometer 2-3dt while a second (B) confirmation body pattern (b) (lip heartbeat 3-h4) is determined by the analyzer lip pulse detector 3-5, whereupon sufficient correlation of patterns (A) and (B), the substantially concurrent health measurement(s) of thermometer 2-3dt are deemed as authenticated to be “of” person 10.

Still referring to FIG. 5B, a careful consideration will show many possible ways for assuring that any health measurement determined by thermometer 2-3dt based upon currently sensed oral temperature is authenticatable to be “of” a person 10, especially in consideration of the cooperation between devices 3-5, 2-3dt and a primary wellness device 1. Therefore, the present depiction and associated teachings should not be considered as unnecessarily limiting, but rather as exemplary. For example, it is possible that thermometer 2-3dt (portrayed as a self-authenticating secondary device 2) omits fingerprint/heartbeat sensor 2-3-s1, where the determined current coupling between thermometer 2-3dt provides assurance the that current lip heartbeat (3-h4) (B) determined by companion lip pulse detector 3-5 is combinable for authentication with health data determined by thermometer 2-3dt, where then this authentication is provided by a primary device 1 that is concurrently confirming both a body ID pattern (a) and a first (A) confirmation body pattern (b), where a sufficient correlation between patterns (A) and (B) allows for authentication. Again, there are many possible arrangements all within the anticipated scope and spirit of the invention, including that the combination of two separate devices 3-5 and 2-3dt are implemented as a single integrated unit.

CONCLUSION AND RAMIFICATIONS

A careful understanding of the present teachings considering the prior two related applications will show that a traditional wearable such as a smartwatch, “activity tracker,” or similar can be further adapted to operate as a primary wellness device capable of both self-authentication and of paring with and authenticating any other primary, secondary, or tertiary wellness device. This novel ability greatly increases the amount of authenticated health measurements available to the primary device for use in monitoring a person according to one or more public health regiments or protocols.

There are known devices in the marketplace, such as manufactured by Nymi, that are wearables capturing at least a body ID pattern (a) that is a fingerprint, and a body ID pattern (a) that is a heartbeat signature. Nymi recognizes the fingerprint to be more accurate for identification of a person than the heartbeat signature and uses the conjunction of IDs to increase the veracity of initial personal authentication. A constraint of the Nymi solution is that a person must register with a system outside of their personal control, often referred to as a “centralized system,” where registering implies providing personal information for association with at least one biometric, or data derived from at least one biometric, for example a “mathematical template” derived from a fingerprint. The centralized-solutions then allow a person streamlined access through a controlled gateway, where streamlined implies a minimal effort with minimal time to ideally become “fully transparent” to the person, and hence for example the person simply taps an NFC reader with their wearable to unlock a door, authenticate a lab result or open a secure document on their computer. The Nymi solution implements a necessarily non-anonymous method of communication with the physical or virtual access gateway to the premises or document, respectively, where the gateway is associated with a system that maintains information about the person that is confirmed by the wearable.

In the prior related and present teachings, the person's identifying information is not revealed to the access gateway but rather the gateway is assured by communication with the primary device that the person that is attempting to gain access has an authenticate honest broker app on their primary device, where the honest broker app is verifiable to the gateway but otherwise not associated with the person. The honest broker in this sense is acting like as an escort that is both known to and trusted by the premises and known to and trusted by the person, even though the premises and the person are not “known” to each other. It is up to the premises to recognize and trust the honest broker, and the honest broker to recognize and trust the person.

In the prior related applications, the honest broker requires the person to registration one or more personal biometrics that can at any time be used to authenticate the person via correlation with current biometric(s), and in this sense the person becomes recognized by the honest broker.

The related PCT application as well as the present teachings add to this “person recognition” the concept of recognizing that a current health measurement is being made “of the recognized person,” hence “authenticated health measurements.” These authenticated health measurements are then used to derive an authenticated current health status for the recognized person. At some point, when a person desires access to a premises or gathering, all that is necessary is that they identify themselves to the honest broker (using one or more current biometrics) in a manor trustable to the premises, for example (but not limited to) when standing within a premises geofence (see the prior related applications). Once re-identified within for example a premises geofence, the honest broker assures the premises gateway (access control system) that the person the honest broker recognizes has followed and currently complies with a health protocol (“regiment”) recognized by the premises, and hence the health status of the person (whose identity remains unknown to the premises) is “vouched for” by the honest broker.

The present and prior related applications teach the novel use of body ID patterns (a) (e.g., face, finger, voice, iris) and confirmation patterns (b) (e.g., heartbeat) for the authentication of health measurements determined by companion devices, where the diversity of the types of measurements made available by various companion devices (e.g., wearables, patches, smart scales, exercise equipment, breath analyzers, and body fluid analyzers) greatly increases the veracity of the authenticated health status derived by the primary device from the authenticated health measurements “of” the person.

While the present application is taught with respect to a heartbeat determined by a companion wellness device and used as a confirmation body pattern (b), where the confirmation process compares two substantially concurrent heartbeats (b) captured by two electronically paired devices, it is possible that for example that the companion wellness device captures one or more health measurements while concurrently determining as related data the person's current heartbeat/ECG/EKG signature as a body ID pattern (a). Hence, the companion device can work “off-line” to collect health measurements, ensuring that each health measurement determined by the companion device is associated with a substantially concurrently determined heartbeat signature (a). Each health measurement(s) is thus paired with a heartbeat (a) signature, the data of which can then be transmitted at a later time to the primary device for authentication.

In this arrangement, it is also possible that the companion device as a wearable omits sensors for determining a “locked” or “attached to body” state confirmation. Each time the companion wellness device collects a health measurement being naturally “of” a body, what is minimally needed is that the wellness device concurrently determines a body ID pattern (a) (such as a heartbeat signature) using the same “proximal body” “of” the person. This functionality is accomplished for example if the sensed data used at least in part to determine the health measurement is also repurposed at least in part for determining the body ID pattern (a).

Examples are skin contact sensors that determine body measurements while also detecting the ECG/EKG heartbeat signature (a), or a camera that uses image analysis to measure a wound while also detecting a heartbeat signature (a). Given a wearable with multiple sensors (such as a smartwatch or chest band), it is also possible that one set of sensors is responsible for determining the body ID pattern (a) (such as the heartbeat signature), while at the same time other distinct sensors, not necessarily collocated with respect to the person's body but otherwise assured to be measuring the person's body, concurrently capture other health measurements. In this case each distinct health measurement, from multiple possibly non collocated sensors, is validated by a substantially concurrent measurement of a body ID pattern (a) such as the heartbeat signature.

To increase veracity, each non-collocated sensor on the same wellness device can also determine a confirmation body pattern (b) (e.g., the person's current heartbeat), such that the same wellness device uses a first ID sensor that is capturing the body ID pattern (a) (heart ECG/EKG signature) to also determines a pattern (b) (current heartbeat) for authenticating each non-collocated (non-ID) sensor on the same wellness device, where after authenticating the sensed data from each non-ID sensor using pattern (b), the same wellness device can store and later transmit all pattern (b) verified health measurements (from any authenticated non-collocated non-ID sensor) to a companion primary device along with a pattern (a) captured concurrently by the same wellness device's ID sensor.

For example, a chest band wearable, with no locking sensors, is affixed to a person and uses multiple sensors spaced throughout the chest band to sense data about the person every 15 minutes. Each separately spaced/non-collocated sensor (x) determines a current confirmation heartbeat pattern (b)-(x) at the time of measurement (m)-(x), where at least one sensor is an ID-sensor capable of also determining a body ID pattern (a) (such as the heartbeat ECG/EKG signature). A computing element on the chest band or in communication with the chest band aggregates each measurement (m)-(x) with its current pattern (b)-(x) along with one associated pattern (a)-(b) also concurrently captured by the wellness device, where the computing element verifies that each measurement with confirmation pattern (m)-(b)-(x) correlates with the concurrent ID and confirmation (a)-(b) and stores the multiple measurements as (m)-(a), preferably with a time stamp, for later use and sharing with another primary wellness device.

A careful understanding of the present invention will show a system for use in private that is able to determine and otherwise collect multiple on-going health measurements from a multiplicity of connected wellness devices, where this large and varied set of authenticated health data forms a valuable on-going assessment of a person's current health state. This data can for example be used to establish important norms, such as body temperatures at different times of the day, or a person's resting heart rate. Using these norms, it is possible to implement what is referred to in the art as “pre-symptomatic” detection of an infection disease, such as COVID-19 (see “Pre-symptomatic detection of COVID-19 from smartwatch data,” published Nov. 18, 2020, in the journal of Nature Biomedical Engineering, authored by Mishra, et al.). Pre-symptomatic detection of an infectious disease is greatly advantaged by capturing multiple on-going systems, often from multiple/disparate devices, all of which is made “publicly trustable” by the teaching of the prior applications and new teachings provided herein.

The present invention and prior related applications discuss many uses of tracking an authenticated health status, where some uses are for controlling/governing access to a premises or gathering, but other uses are for tracking a verifiable health status of a person, where verifiability is useful for at least insurance and law enforcement purposes. The present invention is also anticipated to have value to the person for tracking their on-going multi-symptom state, which for example can help with disease tracking (see “The wearable device that could help to detect cancer” published Oct. 8, 2021, in Nature).

Those familiar with wellness devices will recognize that significant effort is being expended to create new and better sensors and especially wearable sensors (see “Graphene made with lasers for wearable health devices” published Sep. 3, 2021, on Phys.org). Most of these current and future anticipated devices will be in contact with the skin or under the skin of a person and as such are expected to be able to readily determine a current heartbeat confirmation body pattern (b), and as such with each new advancement in sensor and wearable technology, the present and prior teachings provide an extensible general platform for tracking a personal and publicly trustable health state, where for example a person's smartwatch as a primary wellness device serves as an authenticated health data aggregator and also communicates with their smartphone primary wellness device for providing an alternate user interface and additional authentication methods.

Those familiar with the current state of smartwatches will recognize that there is a wide range in features and cost, where very low-cost devices such as provided by Xiaomi do not include full “watch-like” functionality as compared to an Apple watch, and where “activity trackers” such as the Fitbit offer some form of visual user interface but more minimal watch functionality. As a careful consideration will show, any of these various implementations of wrist wearables, as well as other types of wearables, can all be further adapted as taught in the present and related applications to implement any of primary, secondary, or tertiary wellness devices. As will also be well understood by those familiar with smartwatches, it is also possible to include a camera in the smartwatch to at least perform facial recognition functions as taught herein with respect to the smartphone implementation of a primary device.

The prior PCT application also taught a new form of contact tracing that extended the dataset determined using current contract tracing techniques to include as contact relevant data the current health status of any two or more person's deemed to be coming into contact. These PCT teachings remain applicable with the new primary wellness device teachings provided herein, including the prior PCT teachings for contact tracing and social distance tracking with respect to a novel “active mask” technology. Hence, the present invention's primary devices, both wearable and non-wearable, are anticipated to perform contact tracking with other wearable or non-wearable primary devices as well as the prior taught “active mask” technology.

Claims

1. A wearable device for use in self-authenticating a person, comprising: a computing element, a self-authenticating algorithm executed by the computing element, sensing means for determining that the wearable is either currently secured to the person or not currently secured to the person, a fingerprint reader for determining a fingerprint of a finger or thumb, a first sensor for determining a first pulse associated with the finger or thumb, a second sensor for determining a second pulse that is not associated with the finger or thumb, and a band or otherwise means for securing the wearable onto a portion of a person's body.
2. The self-authenticating wearable of claim 1, wherein the self-authenticating algorithm comprises sub-processes for: (1) determining that the wearable is currently secured to the person;(2) determining a fingerprint and a first pulse;(3) determining a second pulse, and(4) determining that the person is self-authenticated if the second pulse sufficiently matches the first pulse.
3. The self-authenticating wearable of claim 1 further adapted to determine or receive one or more target datum of the person, further comprising: any one of or any combination of (a) target datum determining means or (b) communication means for receiving target datum and identity confirmation datum from a companion device, where the companion device comprises (a) target datum determining means, where target datum determining means (a) comprises any one of or any combination of one or more sensors for determining, or communication means for receiving, the one or more target datum relating either to the person, a device or equipment currently being operated at least in part by the person, or an environment in which the person is currently situated, and where identity confirmation datum comprises (c) a companion third pulse associated with the person.
4. A companion device of claim 3 comprising any of: a breath analyzer for measuring the authenticated person's breath, saliva, oral temperature, or other oral characteristics for determining the one or more companion target datum, where the breath analyzer determines the companion third pulse using a face, lip, or mouth pulse sensor;a smart scale for measuring the person's body weight and other body characteristics for determining the one or more companion target datum, where the smart scale determines the companion third pulse using a foot or otherwise body pulse sensor;an exercise equipment for measuring the person's energy expenditure or other body characteristics for determining the one or more companion target datum, where the exercise equipment determines the companion third pulse using a hand or otherwise body pulse sensor;a chest band for measuring the person's circulatory, respiratory, or other body characteristics for determining the one or more companion target datum, where the chest band determines the companion third pulse using a chest surface or interior, or otherwise body pulse sensor;a body patch for measuring the person's body characteristics for determining the one or more companion target datum, where the body patch determines the companion third pulse using a body-contact-point or otherwise a body pulse sensor;a finger-tip sensor for measuring the person's blood, skin, or other body characteristics for determining the one or more companion target datum, where the finger-tip sensor determines the companion third pulse using a body-contact-point or otherwise a body pulse sensor, anda digital thermometer for measuring the person's temperature or other body characteristics for determining the one or more companion target datum, where the digital thermometer determines the companion third pulse using a body-contact-point or otherwise a body pulse sensor.
5. The self-authenticating wearable of claim 3, wherein the self-authenticating algorithm is further adapted to comprise any one of or any combination of sub-processes for: (5) determining the one or more target datum associated with (a), and(6) determining that the one or more target datum associated with (a) are self-authenticated datum if the person is self-authenticated, or(7) receiving from the companion device (b) any of the one or more companion target datum (a) in combination with a companion third pulse (c), and(8) determining that the one or more target datum (b) received from the companion device are self-authenticated datum if the person is self-authenticated and the third pulse (c) sufficiently matches a wearable pulse determined by the self-authenticating wearable.
6. The self-authenticating wearable of claim 5 further adapted to comprise an authenticated assessment algorithm, where the assessment algorithm determines one or more authenticated assessment datum relating to the person, where the assessment algorithm has optional access to one or more regiments specifying one or more rules for at least in part determining the authenticated assessment, where at least one of the one or more rules references at least one of the one or more self-authenticated target datum, and where the assessment determination is based at least in part upon at least one of the one or more self-authenticated target datum and optionally based at least in part upon processing of at least one of the one or more regiments.
7. The self-authenticating wearable of claim 6 used for at least in part determining self-access of the person to a premises or otherwise a gathering of people, where an access control system governs self-access to the premises or otherwise the gathering of the people, where the wearable provides access control datum to the access control system, where access control datum comprises at least in part any one of or any combination of an authenticated target datum of the person or an authenticated assessment of the person, and where the access control system either allows or denies access by the person to the premise or otherwise to the gathering of people based at least in part upon the provided access datum.
8. The self-authenticated wearable of claim 3 wherein the wearable is further adapted to communicate with a primary device for providing to the primary device any of the one or more target datum and at least one personally identifying confirmation biometric associated with the target datum, where the primary device comprises an authenticated assessment algorithm, where the primary device assessment algorithm determines at least one personally identifying registration biometric associated with the person, where the primary device assessment algorithm accepts any of the target datum provided by the wearable if the at least one associated confirmation biometric sufficiently matches the at least one registration biometric.
9. The primary device assessment algorithm of claim 8 further adapted to determine one or more authenticated assessment datum relating to the person, where the assessment algorithm has optional access to one or more regiments specifying one or more rules for at least in part determining the authenticated assessment, where at least one of the one or more rules references at least one of the one or more accepted target datum, where the assessment determination is based at least in part upon at least one of the one or more accepted target datum and optionally based at least in part upon processing of at least one of the one or more regiments, and where the primary device optionally provides back to the wearable the determined one or more authenticated assessment datum.
10. Either of the primary device or self-authenticating wearable of claim 9 for at least in part determining self-access of the person to a premises or otherwise a gathering of people, where an access control system governs self-access to the premises or otherwise the gathering of the people, where either of the primary device or the wearable provides access control datum to the access control system, where access control datum comprises at least in part any one of or any combination of an authenticated target datum of the person or an authenticated assessment of the person, and where the access control system either allows or denies access by the person to the premise or otherwise to the gathering of people based at least in part upon the provided access datum.
11. The self-authenticated wearable of claim 3 wherein the wearable is further adapted to comprise a light emitter and to communicate with a primary device for providing to the primary device any of the one or more target datum and an identifying light signal associated with the target datum, where the primary device comprises an authenticated assessment algorithm, where the primary device assessment algorithm determines a control signal for transmission to the wearable, where the wearable causes the light emitter to emit the identifying light signal based at least in part upon the transmitted control signal, where the primary device assessment algorithm accepts any of the target datum provided by the wearable if the provided identifying light signals sufficiently matches the transmitted control signal.
12. A method for allowing a person to self-authenticate that a wearable is secured to the person, comprising the steps of: (1) providing the person with a wearable that can be secured or not secured to a point on the body of the person, where the person then secures the wearable to the point on body;(2) using apparatus on the wearable to determine that the wearable has been secured to the body of the person;(3) using apparatus on the wearable to determine a fingerprint and corresponding finger pulse, where the fingerprint and corresponding finger pulse are determined substantially simultaneously from the same contact surface of any finger or thumb of the person;(4) using apparatus on the wearable to determine a body pulse substantially simultaneously with step (3), where the body pulse is determined from a body surface point in contact with or close proximity to the secured wearable, and(5) using computing apparatus on the wearable to determine that the wearable is self-authenticated to be secured to the person if the finger pulse sufficiently matches the body surface point pulse.
13. The method of claim 12 further adapted to determine one or more wearable-authenticated target datum of the person, comprising either of both of the additional steps of: (6) after the wearable has been secured to the person and self-authenticated, using the wearable to determine the one or more target datum substantially from the body surface contact point, where then the one or more target datum are wearable-authenticated based upon the self-authentication of the wearable, and(7) communicating with and receiving from a companion device any companion target datum along with a corresponding companion device pulse, substantially simultaneously determining a wearable current pulse from the body surface point, and accepting the companion target datum as wearable-authenticated target datum if the companion device pulse sufficiently matches the wearable current pulse.
14. The method of claim 13 further adapted to determine one or more authenticated assessments of the person, comprising the additional steps of: (8) optionally using the wearable to provide to a primary device any of the one or more wearable-authenticated target datum along with at least one identification datum, where the at least one identification datum comprises a personally identifying confirmation biometric or a temporal pattern of light emitted by the wearable at least in part in response to a control signal provided by the primary device to the wearable, where the primary device receives and accepts the wearable-authenticated target datum as primary device authenticated target datum if the identification datum is determined by the primary device to be valid, where an identification datum that is the personally identifying confirmation biometric is determined to be valid if the confirmation biometric sufficiently matches a registration biometric of the person determined by the primary device, and where an identification datum that is the temporal pattern of light is determined to be valid if the temporal pattern sufficiently matches the control signal;(9) using the wearable or optionally the primary device to optionally access one or more regiments, where each of the one or more regiment specifies one or more rules for at least in part determining the authenticated assessment, where at least one of the one or more rules references at least one of the one or more authenticated target datum, and(10) using the wearable to determine the one or more authenticated assessments using at least in part one or more of the one or more wearable authenticated target datum and optionally using at least in part one or more of the one or more regiments, or optionally using the primary device to determine the one or more authenticated assessments using at least in part one or more of the one or more primary device authenticated target datum and optionally using at least in part one or more of the one or more regiments.
15. The method of claim 14 further adapted to provide self-access by a person to a premises or otherwise a gathering of people, comprising the additional steps of: (11) providing an access control system for governing the self-access of a person to the premises or otherwise the gathering of people, and(12) using either of the wearable or the primary device to provides access control datum to the access control system, where access control datum comprises at least in part any one of or any combination of an authenticated target datum of the person or an authenticated assessment of the person, and where the access control system either allows or denies access by the person to the premise or otherwise to the gathering of people based at least in part upon the provided access datum.
16. A wrist-wearable device and method for determining one or more self-authenticated health measurements of a person, comprising: a wrist-wearable device comprising:a computing element housed in a wrist-wearable enclosure;a band for attaching to the enclosure and fastening the enclosure with computing element to the wrist of a person such that the bottom surface of the enclosure substantially comes into contact or close proximity with the wrist of the person and the top surface of the enclosure is oppositely oriented away from the wrist of the person, where the band has a bottom surface that is oriented toward the wrist of the person and a top surface that is oppositely oriented away from the wrist of the person;a fingerprint reader included with a top surface of the wrist-wearable and in communication with the computing element, where the fingerprint reader substantially simultaneously determines a fingerprint of a finger or a thumbprint of a thumb that is touching or in close proximity to the reader along with a first pulse of the finger or thumb;one or more wrist sensors included in the enclosure and directed toward the wrist of the person for sensing bodily characteristics of the wrist, where the one or more sensors are in communication with the computing element, and where the bodily characteristics at least comprise a second pulse of the wrist of the person, andclasped means for determining that the wrist-wearable is currently secured to the wrist of the person or is not currently secured to the wrist of the person;where the wrist-wearable determines the one or more self-authenticated health measurements in steps comprising:step 1, attaching the wrist-wearable to the wrist of the person using the band, where the computing element uses at least in part the clasped means to determine that the wrist-wearable is currently secured to the wrist of the person;step 2, determining authentication datum by substantially simultaneously or otherwise in sufficiently close temporal sequence using the fingerprint reader to determine a current fingerprint or a current thumbprint along with a current first pulse and using the one or more wrist sensors to determine a current second pulse, where at least the first or second pulse is one of the one or more health measurements of the person, andstep 3, processing the authentication datum to confirm authentication, where the computing element receives the current fingerprint or thumbprint and the current first pulse from the fingerprint reader and at least the current second pulse from the one or more wrist sensors, where the computing element compares the current first and second pulses and if the current first and second pulses are sufficiently matching, the computing element determines and records that the person currently wearing the wrist-wearable is associated with the received fingerprint or thumbprint and that any of the one or more health measurements determined by the wrist sensors are associated with the fingerprint or thumbprint and therefore authenticated to be of the person.
17. The wrist-wearable of claim 16 further adapted to self-authenticate one or more companion health measurements determined of the person using any one or more companion devices, further comprising: one or more companion devices for determining one or more companion health measurements of or related to the person, where the companion device additionally determines a third pulse of the person to be associated with each of the one or more companion health measurements, where the companion device is in communications with the wrist-wearable for providing to the wrist-wearable any one or more companion health measurements along with the associated third pulse of the person, where a companion device comprises a breath analyzer, a smart scale, an exercise equipment, a chest band, a body patch, a finger-tip sensor, and a digital thermometer;where the wrist-wearable receives and authenticates any of the one or more companion health measurements in the additional step comprising:step 4, communicating with the one or more companion devices to receive the one or more companion health measurements in combination with the associated third pulse measurements, where the computing element compares the third pulse to a second pulse determined substantially simultaneously with the receiving or otherwise determination of the companion health measurements and the associated third pulse, and where if the third and second pulses are determined to be sufficiently matching the computing element accepts the received one or more companion health measurements as self-authenticated health measurements of the person.
18. The wrist-wearable of claim 16 further adapted to determine one or more self-authenticated health assessments of the person based at least in part upon a health measurement history of the person, further comprising: one or more health assessment algorithms executed by the computing element, anda health dataset maintained by the computing element, where the computing element comprises data storage means for storing the health dataset;where the wrist-wearable determines the one or more self-authenticated health assessments in the additional steps comprising:step 4, forming the health measurement history of the person by determining and storing in the health dataset any one or more self-authenticated health measurements, where each of the any one or more self-authenticated health measurements are determined at one or more distinct times throughout a continuously-worn duration, where the continuously-worn duration substantially begins during or after step 1 wherein the wrist-wearable is determined to be currently secured to the wrist of the person and continues in duration up until the computing element using at least in part the clasped means determines that the wrist-wearable is no longer currently secured to the wrist of the person, andstep 5, executing at any time during or after the continuously-worn duration any of the one or more health assessment algorithms to process any combination of the one or more self-authenticated health measurements comprising the health measurement history of the person in order to determine the one or more health assessments of the person, where the one or more health assessments are optionally stored in the health dataset as new health measurements becoming a processible part of the health measurement history of the person.
19. The wrist-wearable of claim 18 further adapted to determine one or more publicly-trustable self-authenticated health assessments of the person based at least in part upon the health measurement history of the person, further comprising: one or more publicly trustable regiments specifying one or more rules for substantially controlling the execution of the assessment algorithm with respect to assessing and otherwise updating any of the health measurement history of the person such that any resulting health assessment determined by the assessment algorithm executing the one or more publicly trustable regiments is a publicly-trustable self-authenticated health assessment;where the wrist-wearable determines the one or more publicly-trustable self-authenticated health assessments in the further adapted steps comprising:further adapted step 4, wherein the forming of any portion of the health measurement history of the person to be used for determining a publicly-trustable self-authenticated health assessment is substantially controlled by the one or more rules of the one or more publicly trustable regiments, andfurther adapted step 5, wherein the execution of any of the one or more health assessment algorithms to process any combination of the one or more health measurements comprising the health measurement history of the person in order to determine the one or more publicly-trustable health assessments of the person is substantially controlled by the one or more rules of the one or more publicly trustable regiments.
20. The wrist-wearable of claim 19 further adapted to cooperate with a primary device in order to determine the one or more publicly trustable self-authenticated health assessments of the person, further comprising: a primary device comprising a computing element, communication means for communicating with the wrist-wearable and for receiving the one or more of the publicly trustable regiments, means for determining one or more personally identifying registration biometrics, where a personally identifying biometric comprises a facial image, a fingerprint, or a body pulse;where the wrist-wearable cooperates with the primary device in order to determine the one or more publicly trustable self-authenticated health assessments of the person in the further adapted steps comprising:further adapted step 4, wherein the wrist-wearable provides to the primary device one or more self-authenticated health measurements along with at least one identification datum corresponding to the provided health measurements, where the at least one identification datum comprises a personally identifying confirmation biometric or a temporal pattern of light emitted by the wrist-wearable at least in part in response to a control signal provided by the primary device to the wrist-wearable, where the primary device receives the one or more self-authenticated health measurements along with the at least one identification datum corresponding to the provided health measurements, where if the at least one identification datum is a personally identifying confirmation biometric the primary device compares the confirmation biometric to a registration biometric and where if the at least one identification datum is a temporal pattern of light the primary device compares the temporal pattern of light to the control signal, and where if the result of the identification datum comparison sufficiently indicates a match, the primary device accepts the one or more wrist-wearable health measurements as authenticated health measurements for adding to and being processed with a primary device health dataset comprising the health measurement history of the person being maintained on the primary device, andfurther adapted step 5, wherein additionally or instead of step 5 being executed on the wrist-wearable, using at least in part the health measurement history of the person maintained on the primary device and at least in part one or more of the one or more publicly trustable regiments received by the primary device, the primary device executes any of the one or more health assessment algorithms to process any combination of the one or more health measurements comprising the health measurement history of the person maintained on the primary device in order to determine one or more health assessments of the person, where the one or more health assessments are optionally stored in the health dataset maintained on the primary device as new health measurements becoming a part of the health measurement history of the person.
21. The wrist-wearable or the primary device of claim 20 further adapted to cooperate with an access control system in order to allow the person to gain publicly-trustable, self-authenticated, health-verified access to a premise or otherwise a gathering of people, further comprising: an access control system for governing the access of the person to the premises or otherwise the gathering of people, where the access control system is in communications with either or both the wrist-wearable or the primary device;where the person gains publicly-trustable, self-authenticated, health-verified access to the premise or otherwise the gathering of people in the additional step comprising:step 6, using either of the wrist-wearable or the primary device to provide to the access control system the publicly-trustable, self-authenticated, health assessment determined at least in part using the publicly-trustable regiment, and where the access control system processes the provided health assessment and allows the person to gain access if the provided health assessment is determined to be sufficient.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present provisional application is a continuation-in-part of the PCT Non-Provisional Application No. PCT/US2021/029186 entitled GUEST TRACKING AND ACCESS CONTROL USING HEALTH METRICS filed on Apr. 26, 2021. This application claims the benefit of U.S. Provisional Application No. 63/271,360 entitled MEASUREMENT AUTHENTICATING WELLNESS DEVICES filed on Oct. 25, 2021.

PCT Information

Filing Document	Filing Date	Country	Kind
PCT/US2022/047511	10/23/2022	WO

Provisional Applications (1)

	Number	Date	Country
	63271360	Oct 2021	US

MEASUREMENT AUTHENTICATING WELLNESS DEVICES

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Abstract

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CROSS-REFERENCE TO RELATED APPLICATIONS

PCT Information

Provisional Applications (1)