Patent Application
20170224214
This application is an utility titled “Interoperable Wearable Devices and Communication Platform”, and the teachings of which are incorporated herein in their entireties by reference. This application claims the benefit of the filing date of U.S. provisional application filed on date Jun. 29, 2014.
The present application relates to a plurality of wearables, biosensors, visional kinematics and integrated analytics which accurately measures and analyzes movement or various metabolic and motion activities individually or as a group collective in any sports environment or scale.
In the present disclosure The use of sensor technologies has been forecasted to meteorically increase as wearables become more advanced and interactive. Environmental, biological, scientific and other data can currently be measured and transferred to various computer-based or smart devices. However, synchronized and/or asynchronized information requires greater interoperability between various types of wearable devices as it relates to one or more inter-nearables and intra-wearables, proximity-wearables, biosensor enabled wearables, and kinematics, statistics, computational geometry, optimization etc. when creating an integrated and multilayered and multifunctional group of intersecting wearable measures referred to in the present invention as a Players Wearable Platform (PWP).
Presently, wearables measure relatively singular task and minor tasks such as a person body temperature, heart rate or oxygen level when involved in fitness working outs in order to calculate calories burns, track steps, distance, and stairs climbed and sleeping pattern. It's only synchronized to individual computer or selected smart phone. It is not cohesively integrated nor designed to include complex tasks and an interoperable measurements as a team or unit of team or group.
Biosensor could be defined in the present invention as an analytical device, used for the detection of an analytes that combines a biological component with a physicochemical detector including but not limited to:
Intra-wearables are defined as objects inserted inside a body and/or under/through the layer of skin or animal's coat or underneath the animal's coat. Proximity-wearables are defined as objects which are neither contacting the epidermis nor the integumentary system. Furthermore, proximity and another embodiment could be defined as “close to”, “near”, within geographic vicinity to a person or animal.
Kinematic chain modeling and image tracking can be defined as a branch of classical mechanics which describes the motion of points, bodies (objects) and systems of bodies (groups of objects) without consideration of the causes of motion. The study of kinematics is often referred to as the “geometry of motion. Kinematic analysis is the process of measuring the kinematic quantities used to describe motion.
In addition, kinematics motion could be defined as one or more trajectories of points, lines and other geometric objects and their differential properties such as velocity and acceleration of the human body.
The study of kinematics can be abstracted into purely mathematical functions. For instance, rotation can be represented by elements of the unit circle in the complex plane. Other planar algebras are used to represent the shear mapping of classical motion in absolute time and space and time. Kinematics parameter in geometry, mathematicians, geometric transformations and the movement of components of a mechanical system simplifies the derivation of its equations of motion, and is central to dynamic analysis.
Sensory inputs such as visual (sight), touch, auditory, olfactory and taste which could be interoperably measured by one or more biosensors.
Multiple computerized inputs (enriched data) could be defined as any multimedia technology which collects and enriched data such as but not limited to high definition cameras (video and multi-frame pictures), mobile cameras, auditory microphones, speakers, vibration, wearable trackers, biosensors etc. These inputs could be derived by one or more persons, one or more geographies and from one or more functions and purposes.
It is understood by anyone familiar with the art that all data inputs could be analyzed, stored, reproduced in any scale, any 2D or 3D measurement, any mode, any algorithm, any geometric relationship, any method, any linearized flow model, any intersecting reconstruction, any encoding and decoding, and keypoint(s), any preprogrammed parameter, any time analysis, any probe from covariance analysis, any form of human tracking, any source, any protocol any format, any database, any server, any network and scaling, any sport, any team organized training, any correspondence, any wearable and other inputs and any processor etc.
In addition, Motion perception could be defined by many disciplines, including psychology, visual perception, neurology, neurophysiology, engineering, and computer science however, the combined measurements of multiple measurements derived by multiple wearables on one or more individuals currently do not meet the standards required when interchanging a multitude of wearable units used for example sports and team performance and training.
In addition, Inter-wearables are defined as objects occurring in where it meant “between,” “among,” “in the midst of,” “mutually,” “reciprocally,” “together,” “during”, etc. In addition, inter-wearables are defined as any wearable, smart device or measuring device which contacts the skin (epidermis—stratum basale, stratum spinosum, stratum granulosum, stratum licidum, stratum corneum) and any integumentary system which includes all contact with a body for measurement.
Currently, wearable inefficiency results from a lack of a systematic and integrated informational system. The current system is largely based on “individual measures”, and doesn't distinguish between individually derived wearable data when used as an integrated component of enhancing a team's overall performance. In addition the current system lacks the ability to integrate one or more of the following:
The present invention relates to an interchangeable functionality of one or more wearable devices. An example of one embodiment of visual and ocular inputs and interpretations could be interconnected through one or more networks and/or platforms. Individual wearable data used as a team component from as a plurality wearable “inter” and “intra” devices. Accordingly, the Players Wearable Platform and Communication (PWPC) system, methods and devices related to and used in conjunction therewith are provided which address the needs and provide the advantages outlined herein.
Player Wearable Platform (PWP) and Players Wearable Platform and Communication (PWPC) system could be defined by one embodiment as the ability to detect data from one or more wearable devices, data from one or more Player Wearable Networks with intra or inter proximity devices. Furthermore, these wireless devices could include but not limited to all deviations of biosensors capability and functions, all wireless servers and networks, and data analysis. The above could include data transfer and retrieval from all smart devices compatible with the PWP system. PWP devices not limited to sensors attached to the body, in the body or near the body, smart wearables including but not limited to; smart clothing, mouth-guards, smart hats, smart helmets, smart mouth guards, smart knee supports, smart (ankle supports, arm supports, leg supports), smart socks, smart tracking (balls, pucks, bats, hoops, baseboards, sidings, hockey sticks, lacrosse sticks etc.), goggles, smart shoes, etc. It is understood by anyone familiar with the art that inter- or intra-wearable technologies, RFID tags, all drone technology, near field communication devices, infrared, facial recognition system, motion detectors, high definition video, M2M, location based such as indoor/outdoor positioning (XY) (XYZ)-GPS, as defined in the PWP embodiment(s), high definition video and imagine overlay technology. The PWP system can be used to monitor vital signs of an athletic, comprising: and wearable sensor array comprising at least on sensor elements situated on the player, the at least two sensor elements including an accelerometer and a non-accelerometer sensor, the accelerometer configured to measure at least one accelerometer-measured bioparameter of the athlete from among: resting patterns, activity patterns, movement patterns, position patterns, and the non-accelerometer sensor configured to measure at least one of the following non-accelerometer-measured bioparameters of the athlete such as but not limited to: temperature, pulse rate, respiration rate, oxygen (o2) sensors, dehydration; one or more remote or local processors configured to receive (a) sensor output data from the sensor array concerning the measured bioparameters and (b) reference data concerning the measured bioparameters of the athlete team including the one or more remote or local processors configured to determine whether a specific medical condition is suspected by at least one of the following:(i) recording at least two bioparameters relative to the reference data and comparing a cumulative score of all recorded bioparameters to a threshold cumulative score or to a threshold cumulative range; or (ii) identifying an abnormal pattern in at least one bioparameter from among the accelerometer-measured bioparameters and the non-accelerometer-measured bioparameters, the one or more remote or local processors configured to send an alert if at least one specific medical condition is suspected.
PWP team data derived by a composite of wearable devices data based on individual performance. Kinematic analysis may be used to find the range of movement for a given mechanism, and, working in reverse, kinematic synthesis designs a mechanism for a desired range of motion. In addition, kinematics applies algebraic geometry to the study of the mechanical advantage of a mechanical system or mechanism.
Detection and discrimination of motion can be improved by training with long-term results. Participants trained to detect the movements of dots on a screen in only one direction become particularly good at detecting small movements in the directions around that in which they have been trained. However perceptual learning is highly specific. For example, the participants show no improvement when tested around other motion directions, or for other sorts of stimuli.
In one embodiment of the current invention, the PWP system can integrate the motion process as previously described as an integrated map for athletics and coaches to help understand and modify, a player's teams performance as individuals and as a collective. The collective gathering of data inputs, vestibular and proprioceptive inputs for example could create a collective performance map for athletics in any sport and team organization. Perceptual learning of motion could be used for athletics and coaches to build good cognitive and muscular habits and to eliminate bad habits.
In another embodiment PWP integrates visual motion detected with cameras, biosensors detection and spatio-temporal correlations between players. The PWP processing smart system generates plausible models for one player or a group of players.
In addition, PWP could provide a means of coherence assessed by measuring the ratio any geometric threshold which lifts a 2D representation of a body to a 3D, the visual input will be a 2D projection of a 3D scene. The motion cues present in the 2D projection will by default be insufficient to reconstruct the motion present in the 3D scene. Put differently, many 3D scenes will be compatible with a single 2D projection.
In addition in another embodiment of the present invention the PWP software could separate or control in inclusion or exclusion of extraneous objects for example the building and structure where the game is being played, fences, fans and other factors which interfere which any analytic inputs of motion and other stimulus as previously described.
PWP also could provide artificial intelligence models which could augment a cognitive map which serves an individual to acquire, code, store, recall, and decode information the relative locations and attributes of phenomena in their spatial environment for one or more players.
PWP could make available the ability to integrate numerous team and individual sports models as exemplified by the following models:
Accordingly, the Players Wearable Platform and Communication (PWPC) system, methods and devices related to and used in conjunction therewith are provided which address the needs and provide the advantages outlined herein.
Medical and physiological device inputs examples:
Infotainment functions, such as but no limit to,
Citizens can have type of sensors interconnected with other people who shared commonality, including but no limit to an event or multiple events, exemplified by the following:
Specifically, PWP could include a series of events resulting from the detection or the crossing of personal data collection, and provide direction as needed. One scenario could include for example, the following: Sport training, the wearable device could collect data and analyze performance information through software settings including but limited to:
Data from a wearable device or data from a Personal Wearable Platform or Personal Wearable Network could be combined with data from one or more of the following:
Environmental Sensor data on living and non-living objects:
The PWA system could be applied and may be part of a plurality of dental devices including, but not limited to, caps, crowns, bridges, mouth-guards, denture, implants, veneers, fillings, fixed prosthesis, braces, and/or wires, and retainers, mouth-guard, occlusal splints and/or temporary/removable materials, used in dentistry and recreationally (tongue piercing, etc.). It is understood anyone familiar with the art that a plurality of biosensors and RFID components could be installed in any dental device and/or placed in any oral cavity depending upon the medical or diagnostic intent. In yet another embodiment, the PWA systems could be used in conjunction with other smart wearables on one or more individuals creating a measurable team diagnosis. Furthermore, smart wearables or other medical devices could utilized by a collective group including any team sport application i.e., basketball, soccer, baseball, hockey, swimming, track, football, etc. It is understood that the PWA system could measure and diagnose individual performances in sports (singularly measured, analyzed and diagnosed) or measured, analyzed and diagnosed collectively as a team composed by individual players.
The PWP will provide a method to centralize data collection, exemplified by the following: Personal medical, physical data and health care, such as but not limit to hearing aids, ECG monitors, PERS patches, Smart glasses and contacts (both prescription or non-prescription), blood pressure monitor, medical alert, continuous glucose monitoring, diabetes monitoring, defibrillators, prescription or non-prescription pharmaceutical delivery product, dehydration, pulse oximetry and other medical health care and physical data/measurement and alertness. Examples of medical data inputs may include but are not limited to:
Infotainment functions, such as but no limit to, all team sports, group dancing, cheer-leading, training, etc.
Education, such as monitoring of students' learning progress and learning style Sports such as monitoring players' performance and training players Entertainment such as gauging audience reaction. Military such as tracking the location and health status of troops on the ground. Research such as studies of the physiological data and mental status/condition data of individual and animals under many types of conditions.
Citizens can have type of sensors interconnected with other people who shared commonality, including but no limit to an event or multiple events, exemplified by the following:
Specifically, PWP could include a series of events resulting from the detection or the crossing of personal data collection, and provide direction as needed. One scenario could include for example, the following: Sport training, the wearable device could collect data and analyze performance information through software settings including but limited to:
The system could accommodate sports related data such as but is not limited to: Results of medical treatment such as surgery, therapy, or injections; Any type of therapeutic procedures, Other test results prescribed by a physician or undertaken by the individual to assess or improve the physical and/or mental functioning, awareness, knowledge to enhance performance.
Performance Measurements such as but not limited to: speed, acceleration, jumping, field, course and court information such as the type of turf, floor, moisture level of greens, etc.
Biometric Performance measurements could be individually, dehydration and electrolyte balance (oral): Sodium normal levels 135 and 145 mEq/liter (135-145 mmol/L), normal serum range for chloride is 97 to 107 mEq/L, normal blood potassium level is 3.5-5.0 milliEquivalents/liter (mEq/L), or in international units, 3.5-5.0 millimoles/liter (mmol/L). Sodium and Chloride are most important and blood volume can be calculated based on their blood concentrations.
Heart rate Pulse and Oximary or blood oxygen levels: 60 to 100 beats a minutes but for athletes it might be as low as 40 beats/minute; In medicine, oxygen saturation (SO2), commonly referred to as “sats”, measures the percentage of hemoglobin binding sites in the bloodstream occupied by oxygen. At low partial pressures of oxygen, most hemoglobin is deoxygenated. At around 90% (the value varies according to the clinical context) oxygen saturation increases according to an oxygen-hemoglobin dissociation curve and approaches 100% at partial oxygen pressures of >10 kPa. A pulse oximeter relies on the light absorption characteristics of saturated hemoglobin to give an indication of oxygen saturation. Temperature: 97.8 degrees F. (or Fahrenheit, equivalent to 36.5 degrees C., or Celsius) to 99 degrees F. (37.2 degrees C.) for a healthy adult. Respiration rates: 12 to 16 breaths per minute. EKG- Blood pressure: 120/80 of Hg and athletes may have lower.
EMG or Electromyography to evaluate muscle activity inertia sensor.
The system can maintain real time, near-time and/or historical data. It could analyze conditions such as when lactic acid builds up in the muscles. The system can model individual and team behavior/athletic performance, and the prospective data such as anticipated ability upon return from injury.
The system allows for players' information to be loaded into the individual training and group programs which model individual and group/team play. The information allows for the virtual scouting database which allows for a player's profile including all the historical data and predictive data to be stored, retrieved, modified, imported and exported.
The system can model play based on changes in physical attributes such as strength training, flexibility or surgery. Historical team play can be reenacted through the system as well as projected team play. Integrate data from and interact with smart equipment including but not limited to balls, bats, goals, bases, nets, sticks, helmets, lines, proximity lines, pucks, etc. Referee's data could be integrated into the system for more accurate status of the game and historical reference.
Industrial and Commercial Interoperable wearable devices and network in a commercial industrial setting: the employees, consumers, customers could all provide input into the system. In a manufacturing example the employees could be wearing wearable sensors which could measure productivity, accuracy, quality and other physical and mental inputs. Passengers could be more easily scanned and their luggage data could be associated with the passenger. Passengers traveling on the plane could determine the health status of the person sitting next to them and react accordingly.
Data from a wearable device or data from a Personal Wearable Platform or Personal Wearable Network could be combined with data from one or more of the following:
To create a system with which to but not limited by receive, retrieve, analyze, predict, modify, transmit, share, secure and store information. The system accommodates data files such as but not limited to audio files, video files, image files, 3-D representations, holographs, live feeds from the network, live feeds from the internet and information files.
In addition, the PWP system could utilize inputs from multiple sources exemplified one or more wearables such as head band, goggles, wrist band, head gear, teeth protector, shoes, kneepad, smart suit, which could be inter- and/or intra- and/or proximity wearables. One or more wearables can communicate position on the court, movements, and team work based on passing the basketball or shooting the baskets. It will not only help the individual player, but also help team to improve performance on the basketball court. In addition, yet another embodiment, bi-directional communication in real-time, near-time or delay-time, could be monitored and accessed by one more coaches or managers in relation to individual play or team play. Information based on one or more wearable data points can be analyzed to correct mistakes during practicing and training, to change position, plays, offense/defense strategy. Smart wearables could sense other players positioning and ball positioning and special relations to enhance performance and training. Smart clothing and wearables could signal and message other players based on vibration, visualization verbally. Furthermore, smart goggles and glasses, etc. can be used to incorporate by manager or coach to either giving direction or changing strategies or change individual or team's current or further behavior, and opponent's strength and weakness. Players could also utilize smart goggles or eyewear in order to receive or transmit information. The multi-media and video can give instruction to one or more players on the field. In addition to basketball, the basketball can have a chip to positioning and monitoring team plays and players. This entire system as described in this example could be viewed in entirety or individually to enhance performance and conditioning. When wearables networked could be analyzed each play, each movement and each component, and individual player faces and bodies can be super-imposed on the computer, for practicing and learning. The movements can also base on inter-, intra- and proximity. It can also be super-imposed on computer processed existing video with wearable data.
It should be understood that the steps of the exemplary methods set forth herein are not necessarily required to be performed in the order described, and the order of the steps of such methods should be understood to be merely exemplary. Likewise, additional steps may be included in such methods, and certain steps may be omitted or combined, in methods consistent with various embodiments of the present invention.
As used herein in reference to an element and a standard, the term “compatible” means that the element communicates with other elements in a manner wholly or partially specified by the standard, and would be recognized by other elements as sufficiently capable of communicating with the other elements in the manner specified by the standard. The compatible element does not need to operate internally in a manner specified by the standard.
Also for purposes of this description, the terms “couple,” “coupling,” “coupled,” “connect,” “connecting,” or “connected” refer to any manner known in the art or later developed in which energy is allowed to be transferred between two or more elements, and the interposition of one or more additional elements is contemplated, although not required. Conversely, the terms “directly coupled,” “directly connected,” etc., imply the absence of such additional elements. Signals and corresponding nodes or ports may be referred to by the same name and are interchangeable for purposes here.
It will be further understood that various changes in the details, materials, and arrangements of the parts which have been described and illustrated in order to explain the nature of this invention may be made by those skilled in the art without departing from the scope of the invention as expressed in the claims to be filed upon the USPTO utility and International filing.
The described embodiments provide systems and methods for systems and platforms that receive data from and send data to wearable devices, receive data from environmental sensors, and visualization which collectively creates a kinematic chain allow for input from individuals, groups, third party information and interfaces with historical data as well as predictive modeling systems. Systems that include data from interoperable wearables in conjunction with one or more sensors and measuring devices may be used for the general public, corporations, employees, education, law enforcement, medical, sports, government, transportation, research and training, etc. Furthermore, the interoperability of one or more sensors and communication modules could be networked with one or more physical entities and objects creating an interactive communication network. Wearable platforms could include but are not limited to all wearables (inter- and intra- and proximity-wearables), smart devices, IT networks, virtual systems and secure information processes. In addition, the platforms and networks could also include real-time biological interoperability based on various synchronized and/or asynchronizated data inputs, information and media.
