Patent Application
20210401338
Except to the extent that any of the disclosure in the referenced patents conflicts with the disclosure herein, the following US patents and applications, which include inter alia disclosure pertaining to systems and methods of monitoring human physiological parameters, algorithms and artificial intelligence methods for multivariate computations and estimations, user feedback systems, virtual and computer based coaching, artificial intelligence and computer learning, and virtual reality systems and methods are incorporated herein by reference in their entireties: U.S. Pat. Nos. 9,039,614, 8,775,332, 8,509,882, 20150006192, 20130332160, 20140279800, 20130046151, 20110022332, 20110288379, 20090009284, U.S. Pat. Nos. 9,311,382, 9,552,739, 9,622,660, 5,870,768, 6,067,538, 7,065,512, 7,769,705, 20030101151, U.S. Pat. Nos. 9,215,996, 9,589,475, 9,630,093, 6,425,764, and 7,065,513.
Embodiments of the invention relate generally to systems and methods for predicting and estimating one or more emotional states of a person or changes thereto and providing feedback to that person or others.
Smart phones and other devices incorporate a variety of transducers, sensors and other components for detecting, sensing, monitoring aspects of the world around them including such physical parameters as motion, location, acceleration, orientation, temperature, pressure, acoustical and optical waves, etc. These devices may also contain processing units capable, often in conjunction with software, to receive and potential store and analyze or otherwise process the information of the sensed physical world. In addition to smartphones, there are a growing number of “wearable devices” that can be incorporated into personal clothing other object possessed by individuals, e.g., in clothes, eyeglasses, watches, jewelry, bracelets, ear buds etc. and which may also detect, sense and/or record or transmit data about the world around them including data about the person onto which the wearable is fixed. An individual, with a smartphone and/or other wearable technology is able to detect and monitor aspects and inputs from and of the world around them, and with the onboard processor (or with a remote processor to which the data has been transmitted) can have that information filtered, processed and utilized to provide information to the user. Examples of such useful information being provided include the individual's location, the ambient pressure and temperature, the user motion during walking (e.g., pedometer), and the users sleep habits.
Humans are subject to emotions and emotional states throughout their lives and throughout each day; Emotional lability varies widely across personalities and circumstances, and emotions heavily influence behavior. Emotions can be very wide ranging and they are can have both positive and negative effects depending on the emotion, the circumstance, and how the individual who is experiencing the emotion, responds and/or perceives the emotion. For instance, the emotion of anger, if not recognized and checked can lead to a loss of temper and rage, which is many time regretted by the one losing their temper (not to mention those who receive the brunt of it). Similarly, the emotion of fear can cause one to flee from challenges resulting in failure.
Alternatively, the emotions of fear and anger can be channeled for positive purposes if recognized and directed to the appropriate ends. There is much literature, psychological and otherwise, written about how to deal with emotions, both positive and negative emotions and many people seek out means to identify, gauge, control, and channel their emotions in positive productive ways. Often, the difficulty in dealing with an emotion, whether positive or negative, is simply recognizing its developing presence. Cognitive therapy and other self-help habits, including positive feedback therapy, rely on recognizing what one is feeling as the first step in dealing with the emotion; once one know one is under the throes of a strong emotion such as fear or anger, one can use one's mind or other help to channel the emotion effectively and as the individual wants.
Mental emotional states can heavily influence actual behavior—in both positive and negative ways. Many times the key to success or optimal behaviour is self-wareness of oneself (know thyself)—moods or affect can be very powerful if used correctly—e.g., righteous anger resulting in assertiveness and courage to overcome or destructive if use wrongly e.g. fear causing worry, loss of confidence, failure. Example benefits of such a system include allowing one to recognize their fear, anger and other emotions in order to deal effectively and channel it properly and productively. Obviously there are many other emotions, including but not limited to, sadness, despair, joy, happiness, anxiety, etc., the detection, prediction of which and feedback to the user are contemplated by the invention.
Emotional stability and control are important to health, relationships and longevity. Understanding how one reacts under certain stressors and triggers as well as being able to proactively prepare, anticipate and channel emotions, including encouraging/enhancing positive/desired emotions and discouraging/reducing negative/unwanted emotions are examples of benefits offered by embodiments of the invention.
Embodiments of the invention includes methods of predicting an emotional state or affect of an individual and providing feedback to the individual comprising sensing, detecting or measuring one or more parameters of a person at a first time; sensing, detecting or measuring one or more of said parameters of the person at a second time; determining the changes or rates of changes to one or more of the said parameters between the first and second time; estimating an emotional state or changes to an emotional state of the person based on said changes or rates of changes of one or more of the parameters; and providing feedback of said estimated emotional state or changes to the emotional state of the person to the person.
In some embodiments parameters of a person include one or more of the group consisting of: physiological parameters; physical actions, verbal outputs both written or spoken, muscle tension, facial expression and sounds. In some embodiments physiological parameters of a person include one or more of the group consisting of: blood pressure, pulse, respiration, perspiration, skin salinity, temperature, subcutaneous vascular activity, pupillary response, bodily reflexes, blood chemistry including hormone levels, mandibular pressure, or physiological changes associated with sexual arousal. In some embodiments physical actions include one or more of the group consisting of: gesticulations or hand or arm motions, type and speed of gait, changes to head orientation such as head cocking or drooping, grip or finger pressure or first clenching or changes thereto, body posture, speed or pressure used in manual activities or typing, speed and volume of articulation or sound enunciation such as yelling or whispering, weeping, smiling or laughing.
In some embodiments, the sensing, detecting or measuring is performed by the use of a smartphone wherein one or more of the hardware components integrated within said smartphone is used to sense, detect or measure a parameter of the person. In some embodiments the hardware components include one or more from the group consisting of: camera, microphone, accelerometer, gyroscope, thermometer, hygrometer, piezos and pressure sensors and GPS.
In some embodiments, a software application resident on said smartphone is used to receive data pertaining to said parameter from said hardware component at said first time and said second time, to determine a change or change rate to said parameter, to estimate an emotional state or change thereto of the person and to provide feedback to the person on an estimated emotional state or changes thereto of the person. In some embodiments, additional hardware components for sensing, detecting or measuring a parameter of a person are connected to said smartphone via either a direct physical connection or wirelessly. In some embodiments, the additional hardware is provided or included in one from the group consisting of: wearables, spectacles, temples, ear buds, scarves, necklaces, bracelets, watches, rings, skin patches, hats, halters, physiological monitors and other networked sensors. In some embodiments, a software application resident on said smartphone receives data pertaining to a parameter from a hardware component and transmits this data to a remote system, and wherein said remote system in wireless communication with said smartphone determines a change or change rate to said parameter and estimates an emotional state or change thereto and transmit this information to the smartphone which provides feedback to the person on an estimated emotional state or changes thereto of the person.
Other embodiments include a method of predicting or identifying an emotional state or affect of a first individual and providing a portion of that information to second individual comprising sensing, detecting, measuring or receiving one or more parameters of a first person at a first time; sensing, detecting, measuring or receiving one or more of said parameters of said first person at a second time; determining the changes or rates of changes to one or more of the said parameters between the first and second time; estimating an emotional state or changes to an emotional state of said first person based on said changes or rates of changes of one or more of the parameters; providing feedback of said estimated emotional state or changes thereto of the person to the person; and providing information pertaining to the estimated emotional state or changes thereto of said first portion to a second portion.
In some embodiments, a first person determines which information is provided to said second person, and the first person can adjust the amount and details of information to be shared with said second person through a software app or application. In some embodiments, the first person and said second person are remote from one another and exchange information including information on emotional states and changes thereto using smartphones, tablets, computers or other hardware using wireless communications and wherein such sharing of information may occur using social networking platforms.
In some embodiments, the estimation of an emotional state or changes to an emotional state are performed using a processor which relies on one or more methods of estimation or algorithms consisting of one or more of: rules based engine; database or lookup table; self learning adaptive system; neural network or artificial intelligence. In some embodiments, a person, by means of an software interface, may modify the methods of estimation or algorithm's inputs, weightings or baselines or other parameters in order to more finely tune said methods and algorithms and may provide other feedback including subjective feedback of said person's own emotional state in order to improve the accuracy of said estimations or improve an adaptive learning or artificial intelligence system used for estimating emotional states.
Still other embodiments include a system for predicting or identifying an emotional state or changes thereto of a person and providing feedback information to that person or another person comprising: one or more transducers for sensing, measuring or identifying parameters of a person during a time interval; a processor for determining the changes or rates of changes to one or more of the parameters over said time interval and for estimating an emotional state or changes to an emotional state of said person based on said changes or rates of changes of the parameters; and a user feedback means for providing feedback of said estimations by processor of emotional state or changes thereto of the person to the person. In some embodiments, at least one of said transducers and said processor and said user feedback means are incorporated in a smartphone. In other embodiments, at least one of the transducers is not incorporated into a smartphone and is a wearable or other device proximate to or in contact with the body of said person said transducer relaying data via wireless communication to a processor. In some embodiments at least a portion of the user feedback means is not incorporated into a smartphone and is proximate or in contact with the body of said person. In some embodiments, the system estimation of emotional states or changes thereto by said processor is accomplished using methods of estimation or algorithms consisting of one or more of: rules based engine; database or lookup table; self learning adaptive system; neural network or artificial intelligence. In some embodiments, the system comprises means for sharing the estimation of emotional states or changes thereto of one person to another person.
Some embodiments of the invention are described in the following. In our fast paced and hectic world with many stimuli and psychological stressors, sometimes all at once, it is sometime easy for emotions such as frustration, anger, anxiety, worry, fear and others to develop or build up so rapidly that the individual is either unaware or “behind the curve” in recognizing these emotions and appropriately dealing with them. For example, some individuals may actually have trouble identifying their emotion correctly and/or knowing how to respond appropriate—e.g., to maximize the value of the emotion, avoiding hurting others or oneself, etc. Being able to recognize one's emotional state and also the change in one's emotions, e.g., the onset of anger or fear, to anticipate where one's emotional state is headed would be quite valuable to many in dealing with emotions proactively and positively. Moreover, having a real time feedback system that can forecast or predict emotional lability or other changes in emotion and/or provide helpful guidance in handling the emotion, e.g., instruction, encouragement, contacting of friend or medical personnel, would be a great benefit to many who may want to understand their emotional states, their “trigger buttons”, and those who want to control and/or channel their emotions. For instance, one may wish to be alerted that they are moving emotionally towards anger so that they can take steps to prevent losing temper or saying the wrong things; or being alerted that one is becoming anxious in a social situation would allow the person more control and chance to be proactive because they understood what was going on. Furthermore, real time guidance or “coaching” helping one to deal with or channel the emotion the best way for the individual and setting would be beneficial to many. Some Embodiments of the inventions are directed at these goals of detecting affect or emotional states or changes (including in some embodiments of predicting or estimating of an individual's minute by minute emotional evolution), and providing real time feedback to the person on the state of their emotions/affect/mood and changes/evolution thereof—and in some embodiments real time guidance or other feedback that helps the user deal appropriately with their emotional state.
In one embodiment, and with reference to the drawings included herein the invention comprises a system that provides real time detection and monitoring of physical aspects of an individual and/or aspects of the individual's activity, determines, computes or estimates that person's emotional state or affect or estimates the change of, evolution too or increasing probability of a change in the individual's mood or emotional state occurring, and provides feedback, e.g., in real time, to the individual about the person's emotional change, change or potential change thereof. In some embodiments, the notification to user can take the form voice activated read-out, display on screen, vibration of device, watch or other wearable. In some embodiments, additional feedback is provided to the user, helping the user cope or appropriately act on their emotions and changes thereof. For instance, if the emotion of anger is identified, the user can hear a voice “calm down” or “anger ramping, be careful”.
In one embodiment, the system is exemplified by an individual's smartphone; or tablet; these examples provide for mobile, real time and privacy protected data since the user is in possession of phone and the recording of data and processing of emotional data may reside on the user's phone or may be encrypted and communicated to/from a remote server or processor. In other embodiments a remote or local pc or other system receives data (e.g., from networked wearables), processes the data to generate an output of some mood or emotion related data and communicates this to user or other authorized party.
Example physical systems and “wearables” may include: smart phone, tablet, computers, smart glass type technology, smart watches, smart “tactical feedback” gloves, any type of wearable device or any combination of the aforementioned. Moreover these wearables can be controlled or be coordinated to operate as a system, e.g., in conjunction with a proximal or remote processor or using the processing capability of one or more of the wearables.
In one embodiment, measurements of one or more physiologic outputs and/or other idiosyncratic information particular to a user including but not limited to voice data, image data, muscle tension data, behavior etc. in real time and processing the data, e.g., with an algorithm, correlating the inputs and mapping inputs and correlated inputs to possible or likely emotional state, moods or changes of these, and reporting emotional related or indicative data (or raw data or data in whatever form desired) to the user.
Estimation of emotions experienced by a person, the intensity of such emotions and whether that emotion is increasing or decreasing may be accomplished by reference to a pre-populated database (e.g., a look-up table) that maps datums/signals, and their absolute and/or relative values to certain emotional states or meta-states. Alternatively a self-learning or adaptive algorithm with or without used input and feedback and fine tuning may be used to estimate emotional states or changes based on the measured signals/datums.
The feedback to the user may include coaching and/or recommendations of how to respond or what to do next. For example, in anger is sensed the system may say “calm down” “count to ten” or respond in a user programmed way, e.g., play favorite song.
Although the following sections describe example embodiments and many different characteristics, traits, responses, and outputs of an individual user, it is to be understood that these are examples only and embodiments of the invention are not limited to what is described and furthermore do not need to include each and every feature described. For instance, a single data stream/point representing the user (e.g., voice analysis) may be all that is need in a certain application to accurately identify the desired information (e.g., stress or calm). Another embodiment may need 2 inputs; another may use a dozen, etc.). The attached drawings show some embodiments of the invention consistent with and inclusive of the disclosure herein.
In some embodiments an individual has smartphone (or other smart type device) and uses hardware and software (OS and apps) to effect and implement the emotional detection and feedback system. The hardware including sensors and other component chips may be incorporated in the smartphone and additionally may be added on via a hardware plug in (e.g., using the available ports/jacks on the smartphone itself or networked to phone (e.g., via bluetooth or other comm protocol). One or more apps on the smartphone (or may be remote on networked computer), reads real time data of sensors and other devices and estimates an emotion state or dominant state or changing emotions or states (e.g., increase in fear or anger) and provides real time feedback (and in some cases coaching) to user about at least one of: their current activity, physiologic state, emotional status, changes in emotional affect or the like.
The processing system uses a multivariate approach to estimate affect or changes thereto base on the multiple variables and changes that are present. The algorithm for estimate mood/affect/emotions may be based on a look up table where certain detected user measured or analyzed data is weighted and correlated to a likely emotional state. For example, if pulse increases and keypad typing pressure increases, this may indicate increasing anger, whereas if the pulse increases but the keypad pressure decreases may indicate increasing fear. The algorithm may be a self-learning and adapting system (e.g., neural network), and may get information from user (e.g., user inputs their self-perceived emotion state or user confirms or disconfirms algorithms estimate of emotional state); this baselining and input from the user can be used to finely tune the algorithm to provide more accurate and tailored results to the user.
The system provides feedback to user on their emotional state, and may provide feedback via numerous ways; for example a screen display showing likely emotions and changes thereto; an audio report or warning, a vibration warning or pattern of vibrations through the phone to represent emotions or warnings. The feedback may also be provide via non-phone hardware (ear buds, heads-up display on spectacle, pressure or squeezing from watch, etc.). Various ways of relating information to the user will be evident to one skilled in the art.
Examples of native phone hardware and associated user specific information that may be derived and used to infer emotional state may include (but not limited to):
Examples of non-native hardware that can be connected/networked to smartphone may include (but not limited to):
Such sensors can be incorporated in a variety of different device, e.g., to be used or worn by the use. Wearable devices that can incorporate sensors to detect physiologic signals may include (but are not limited to): spectacles and temples, headband, headphones, ear buds, necklace/pendant, bracelet/anklet, watch, clothing including shoes and belts, skin patches, rings, etc.
Because different individuals may have difference emotional make-ups, e.g., some are more or less emotional labile that others, some are more or less prone to specific emotion, have different trigger points, have a harder or easier time recognizing and/or coping with a specific emotion, in some embodiments of the inventions, as baselining or benchmarking of each individual is performed in order to enhance, improve or optimize the system's ability to timely and accurately detect emotional status indicators and provide feedback to user. Additional baselining variables include idiosyncratic behavior of the individual. For example each individual may have one or multiple normal baseline and/or set of norms in their physiological responses (e.g., pulse, respiration, bp, skin salinity, pupillary response, muscle contraction etc.) physical gestures, voice, voice stress analysis, tones, words, typing habits, how tightly they hold a device etc. By measuring these variables, e.g., in a controlled condition such as relative calm, a baseline or norm for the user can be established. In some embodiments, user inputs known attributes about self or answers a questionnaire about self—the answers of which are used by the system to set thresholds and baselines. In some embodiments, the user monitors and adjusts the feedback received from the system to match the user own perception of their emotional state; this provides the system algorithm with additional data potential improving its performance by being tuned to the specific responses of individual user.
In some embodiments, real time measurement and analyses of one, several or all these inputs and variables is monitored to identify changes which may or are known to correlate with certain emotion states or states of mind, such as anger, impatience, fear or uncomfortableness, etc. The feedback system may include a means whereby the use confirms the accuracy of the system emotional diagnosis/reporting. In this example, the system is trained by the user, based on user feedback, input and/or confirmation by the user. In other example embodiments, the user may perceive an emotional state or change and provide direct feedback to the system and the system can associate the current measured data from that individual as indicative that emotional state. In some embodiments, the user can track their emotional states and changes over time and/or the user may deliberately insert themselves into a situation to trigger emotions, and monitor their emotional responses in real time via the system thereby providing a means of cognitive feedback therapy. In other embodiments, the system can be used to categorize personality types (e.g., analogous to Myers Briggs). By being exposed to certain questions, images, situations, and monitoring emotional changes, inference of personality type may be made.
The processing algorithm (or algorithms), which receives signal data that is generated by or associated with the user, and generates one or more outputs such as for example, compiled and processed raw data, estimated or predicted emotional state or states, identification of ramping up or down of certain emotions, changes and rates thereto, etc. may be implemented in a variety of ways as will be evident to one of ordinary skill in the art.
In some embodiments there may be a resident or remote database or server which stores raw data and/or historical and past data of the user and/or rules engine used to process input data and output emotional information. In some embodiments one or more look up tables may be employed; with a look up table, certain raw or preprocessed data are associated with one or more specific emotions or emotional responses (weightings and magnitudes and rates of change of the user signal data); the user data may be mapped in a multivariate way and the ordered and weighted input values at a given time may be compared to look up table for matching (or near matching) emotional state or changes thereto.
Other embodiments include a self learning algorithm that uses feedback from user to tune the algorithm for increased accuracy. For example, the user may initially set up a user baseline, e.g., user is particularly not easily upset or perturbed or conversely is very emotional labile and easily triggered into various emotional states. Or can specify certain emotions or physiological or physical responses associated therewith in advance to the system. The user may have access to “sliders” on screen in order to adjust the weighting to difference user inputs thereby adjusting the algorithm to give more or less weight (or ignore or focus solely etc) on any one or several of the user parameters or signals.
In other embodiments the system can use neural network or other adaptive multivariate systems to process the input data to estimate emotional state or affect. In some embodiments, the system outputs estimations of emotions and requests user feedback, e.g., for the user to input their own perceptions of their emotions, or to confirm, disconfirm or suggest modifications to the algorithms output; this allows for baselining a particular user, and fine tuning the algorithm for that particular user. Benchmark or other data, existing in the literature, e.g., psychology, behavior, medicine, psychiatry, etc. may be user to relate physiological states or changes (e.g., pulse, be respiration, skin salinity etc.)), physical activities (etc. muscle tension, key pressing, gesticulations, yelling, tearing, trembling, shivering, teeth clenching, etc) and other measured idiosyncratic data. Additionally or alternatively, user can input known “triggers” or stressors and known data about themselves in order to baseline and tune the algorithms.
Although the following sections describe example uses and applications, it is to be understood that these are examples only of the potential uses and applications, and the uses or variations on implementation are not limited to what is described herein. A person of ordinary skill will recognize the wide applicability of a system as described herein and embodiments of the invention may include all useful application of the recognition and feedback system as exemplified herein. Providing monitoring, forecasting or predicting of emotional states or moods and/or changes thereof, alone or couple with a real time, near-real time or delayed reporting or feedback system has many potential applications. Without limitation and without being exhaustive, examples of uses include, but are not limited to the following examples
Example uses of the systems and methods according to some embodiments include: Cognitive Therapy and Self Help and Awareness, and Positive Feedback and control. Be being aware of one's emotional states and lability in response to certain stimuli, one can cope or manage or even direct their emotional and actual responses in a positive way. By being aware of the triggers for both positive and negative emotions, one can seek to place themselves in positive situations and avoid negative ones. One can apply learned feedback techniques (e.g., anger or anxiety management) proactively with advance warning of the onset of an emotion. In general, one can learn to recognize and control or direct ones emotions in a positive way to improve themselves, their personality and their relationships and the system can provide one with increased control over one's feelings and behavior, and be a very empowering tool for self development. Cognitive Therapy (and other psychological therapies involving post mood analyses or real time feedback and control).
Personality Identification. Emotional data collected over time or in or in real time as response to specific psychological or physical stressors can be analyzed to predict certain personality traits, e.g., introvert or extrovert, analytical or feeling, etc.
Social Interaction. Learning about another, getting to know another more intimately, alerting the other to one's emotional state and emotional responses to the interaction (e.g., what the other person said or did) can allow individuals to more easily identify those who they would likely “click” with or develop a friendship as well as warn of incompatibility.
Feedback on advertising, products, political speech or anything else user is exposed to for which feedback of product provider is interested in—and this can be real time. In one embodiment, the user agrees to allow their emotional data (or portions thereof) to be share to provide of product/ad/speech, etc.
Group Input and Therapy—members of a group can selectively (or anonymously) share with members of the group (or other 3rd parties) their individual data and group collective data—like a focus group in one example—or in another case, to allow a group speaker to gauge the state of the group in order to tailor her speech appropriately.
Business/personal negotiations and presentation.
In some embodiments, a user may want to share data in real time with another individual to allow them to appreciate the emotional affect of “the other”—mutual and/or reciprocal sharing would also be enabled. Embodiments include a sharing of emotional states between individuals, both in real time or non real time. Ina real time sharing scenario example, 2 persons want to get to know each other and be aware of how they are making the other person feel and alert to any emotional changes in the other person to facilitate the communication or relationship (of course 1 person may share data while the other does not or they can share different types of data). In an embodiment, an app on a smartphone or tablet or PC would provide the real time emotional data of one party to the other. The details of what is shared could be controlled by the user providing the data. This allows for sharing of the “feelings” of the other person either in a face to face setting or where the individuals are separated (e.g., in different homes, office, countries). In another embodiment, voice analysis and/or voice stress analysis may be used as a means to communicate emotional status to the other party.
Exemplary embodiments include the ability of the user to keep his emotional responses data completely private and share only limited/filtered information to the extent he wishes with whom he so chooses. Other embodiments include multiple persons within groups sharing information with each other, or subgroups within, and a correlative function that identifies a “group emotion”, a sort of weighting for the overall group composing the emotional responses of the members of the group.
In other embodiments, individuals can utilize certain “wearable” or other “connected” devices including headsets, armbands, etc, while chatting, texting or otherwise communicating with another person, for instance at their desk computer, and thereby share their emotional responses/state with the other person. This would facilitate “getting to know someone” remotely, and allows for a deeper appreciation of the other person's personality.
Other embodiments include non-real time feedback where the use or another entity (e.g., doctor) can review the time evolution of a user's emotion state (e.g., over the course of a day). The user can track their emotional changes to the events during the day and learn what triggers these changes, and thereby learn more about themselves, their emotional triggers (good and bad). For example, the output may be a daily chart/graph showing different emotional states and changes thereto throughout the day.
In some embodiments, the system, or components thereof, may be anonymous in some instances to facilitate privacy protecting collection of data for analysis. For instance, a user may wish to provide emotional feedback to an advertiser, but wants to remain anonymous. The privacy protected embodiment would allow the sharing of emotional data without identifying the individual.
In some embodiments, the system is implemented using a single “wearable” or other device attached or connect to users body providing real time sensing of one or more user variables allowing for an inference or estimation of one or more emotions, mood, affects, dispositions or inclinations. The signal processing can be accomplished on an internal processor of the device or in some embodiments by a remote processor connected to the attached device by wireline or wireless connections. In some embodiments the output estimation is conveyed directly to user or another party. Examples of such emotions/moods/dispositions include but are not limited to: anger, frustration, irritation, annoyance, impatience, intimidation, uncomfortableness, fear, worry, anxiety, calmness, relaxedness, ambivalence, surprise, astonishment, confusion, bewilderment, rage, warmth, sympathy, empathy, compassion, pity, attracted, aroused, love, desire, down, sad, depressed, loneliness, happiness, contentedness, joyful, excited, scared.
Some embodiments include an empathy trainer wherein individuals share emotional or other data and engage in real time meditation, dialog, therapy or other interaction that is at least in part driven by each individuals knowledge of their own personal data and/or that of the other person or persons (in the scenario of a group session). Such “sessions” with information sharing may facilitate bonding, personal and relationship growth among other things.
Embodiments include methods and systems for providing an individual with estimates and analyses of their psychological state, makeup, inclinations, neuroses and other pathologies and the like. Embodiments include feedback to the user for helping guide the individual in understanding themselves, addressing any mood and/or psychological issues and generally helping the individual to improve themselves. Embodiments included automated and computer generated and directed coaching including psychological coaching, psychological diagnosis, and psychological therapies. Some embodiments include a virtual therapist for estimating a clinical psychological diagnosis based on input from a user or patient. In some embodiments, the virtual therapist provides coaching, counseling and/or forms of psychotherapy on a user or patient.
According to some embodiments, a virtual therapist may be implemented via an artificial intelligence (AI) engine and/or machine. Such AI machines are well known in the art, and may be programmed with information that in conjunction with self learning, can inter alia draw conclusions, make judgments, provide recommendations, direct activity etc. Such an AI engine may be implemented on a smartphone, tablet, and personal computer for example. In some embodiments, the AI machine is programmed with psychological diagnostic criteria and information as well as clinical therapeutic approaches, for example, similar to the diagnostic information and therapeutic techniques that are learned by trained therapists and psychologist. For example, the Diagnostic and Statistical Manual, the benchmark diagnostic tool and pathology manual of the psychological profession may be programmed (or read) by the AI machine (other diagnostic information and psychological assessment information) may also be read, learned or programmed into the AI engine). There are many standard psychological techniques and procedure for treatments and therapy as well that have been codified and systematized to some extent. Such information would be programmed or otherwise learned by the AI engine. Psychological diagnosis and therapy can be subjective to some extent and a wide variety of therapies are potentially available to treat pathologies or disorder. Such varieties of therapeutic approaches may be learned or programmed into the AI engine.
In some embodiments, the AI engine implemented systems and methods would comprise both diagnostic and therapeutic capabilities, including methods of diagnosing (or otherwise estimating one or more psychological parameters or state) of a patient or user, and methods for treating or counseling the patient or user. Methods for diagnosing and eliciting diagnostic criteria may include verbal responses by the user to questions originated by the AI engine, physiological states, and changes thereto, or other non-verbal responses from the user in reacting to local stimulus and/or that provided by the AI engine. In some embodiments, the virtual psychotherapist is resident on a personal computer and interfaces with user via a video camera and display, microphone and speaker, and various other sensor associated with the user or activities thereof. Non-verbal responses may include but are not limited to facial expressions, sounds, body postures orientation, muscle tension, idiosyncratic activity, body language, physiological data as measured by sensors (see
Psychotherapy by the AI engine virtual therapists may also be implemented at the user request using the learned therapies and therapeutics. Therapies may include any of the wide variety of known psychotherapeutic techniques and which have been programmed or learned by the AI engine. Examples of such include but are not limited to cognitive therapies. In cognitive therapy, the virtual therapists through the AI engine would engage in dialog with the user or human actor and implement therapy similar to how a human therapist would. Some therapies involve physical or other stimulus (including emotional stimulus via words, pictures, thoughts, etc). The AI engine would control actuators that would effect any necessary stimulus as part of the therapy.
In some embodiments, virtual reality (VR) is employed to effect the needed stimulus. For instance, the technique of “flooding” an individual with a known fear is a therapy to overcome that fear. As an example, and in no way limiting the scope of the invention, the AI virtual therapist determines that the user suffers from acrophobia or has a recurrent fear of falling from a great height that is manifested in the user's dreams. Using a VR mask or goggles, the user can be flooded with the experience of falling from great heights with the intent to sensitize the user from the fear that they have been experiencing. As described elsewhere herein, the user may employ wearable technology and this technology can be used as both a diagnostic aid (sensing data about the user) as well as a therapeutic aid (sending stimuli to the use and/or measuring responses to said stimuli).
According to some embodiments, VR may be used for baselining, testing, diagnosing, treating and coaching. Simulating environments, situations, human interactions as well as other stimuli via VR and other technologies, and receiving and analyzing feedback (verbal and non-verbal) from a user allows for diagnosing and treating psychological and personality conditions. The AI engine—virtual therapist may use algorithmic approaches to testing, diagnoses and treatment, based on for example, the standard practices psychology as programmed into and learned by the AI engine. Just as a therapist would dialog with a patient or user to uncover or elucidate personality traits and disorders, and apply iterative therapy to treat any disorder, the AI—virtual therapist would dialog with the patient or user (for instance analogous to a Turing machine), learn from the patient and apply the professional knowledge and learned skill of the psychological profession. Such dialog could occur via various ways, including for instance via a computer interface that includes a display and speaker by which the AI-therapist would communicate visually and audibly to the patient. If the patient was interface with sensors or actuators, the AI-therapist would be able to read and correlate these sensors in real time, and activate or engage any actuators (e.g., stimulus).
In one embodiment, the user interface with and to the virtual coach or therapist is implemented via a smartphone (in other embodiments, a personal computer or tablet). In some embodiments, the AI engine is resident on the smartphone. In other embodiments, the AI engine is remote from the smartphone (for instance, located on a computer with high processing capability). In some embodiments, diagnostic and treatments methods are categorized and stored in a computer data store (e.g., database) which is accessible by the AI engine to consult and continue learning.
Such AI driven psychological diagnostic estimation systems and methods, and particularly when implement on, at least partially (for instance a back end remote serve may comprise the stored data, encyclopedia diagnostic data act), a common computation device such as a smartphone or personal computer would have wide applicability. Potential applications include a personal assistant or psychological coach, implemented as an AI engine, that used known science of psychology and therapy, and help a person understand themselves more deeply and identify any perceived shortcomings or “pathologies” in their personalities (which they may want to improve), and help them eliminate or mitigate such personality or psychological disorders thereby improving themselves. Other applications include a virtual clinical psychologist that may be helpful where there is a shortage of human practitioners. The virtual AI driven diagnostician may be used by clinicians and others to pre-assess and/or triage patients or clients and thus provide enhance efficiency. The virtual tool may also be used as a clinician's aid in diagnosis and treatment. These are only examples of the applications, and embodiments of the invention are not limited to these.
In some embodiments, the AI Engine 620 is preprogrammed with an extensive amount diagnostic, therapeutic and other professional and scientific knowledge (for instance the DSM and Clinical Treatment manuals, monographs, etc). In other embodiments, the AI Engine 620 is programmed with a basic amount of knowledge and has accesses to separately stored knowledge based, and accesses such data stores to enhance the AI Engine's learning and knowledge or in response to a specific therapy or coaching session.
According to some additional embodiments of the invention, users share personal data in real time, data including but not limited to physiological, physical and other raw data and/or derived data such as estimation of moods or estimations or changes thereto. One example application is in the field of computer gaming which is a vast and diverse global industry and recreational pursuits. Individuals routinely play games where they are remote from one another, but are connected to a game via the Internet or other communication means. Because the users are connected via communication links, they can play and enjoy gaming as if they are together. According to some embodiments, gaming may include sharing one or more of a user's personal data with other users and/or sharing it and having the data become part of or an objective or target of the game itself.
In one embodiment, users are playing an identical game, and one user is performing better than another; the higher performing user's data may be shared with the lower performing user such that the latter can potentially adjust his data (e.g., via coaching or simple observation) to more align with the former thus improving performance. In some embodiments, user data is integrated into the scoring system of the game and players compete, at least in part, by trying to optimize or control their personal data (e.g., control their fear, improve their concentration, etc.) In some embodiments, users may share only a portion of their data and only for a certain time period; users can “buy” data using game credits according to some embodiments. All these features may facilitate enjoyment, competition and learning in the gaming environment.
In some embodiments, the game itself may be designed around or scored according to a user's personal data (for example, minimizing/maximizing heart rate, sweat, muscle tension, facial expressions, etc). Additional parameters of game performance may be derived parameters such as user's emotional state (fear, anger, fatigue, etc). Embodiments of the invention include computer gaming that has as its object, goals, targets, or metrics, real time generated personal data (raw or derived) of a player (such data includes those as shown in
In some embodiments, one or more datums associated with a first individual or entity, including for example, physiological data, physical or motion data or any other derived data associated with a user including estimated emotional affect or changes thereto, is shared with a second individual or entity. For example, when engaging in a sporting activity or physical fitness training, information and data from one person may be voluntarily shared with person or persons. The person who receives the data may communicate back to the originator of the data, for example in the form of coaching or other types of feedback. In some embodiments, individuals mutually share their data or portions thereof, for example in real time. This may facilitate training together and mutual motivation and learning. Because the sharing of information may be accomplished via wireless or other communications, the individuals sharing data may be remote to one another (across town or around the world for instance).
Embodiments of the present invention would facilitate motivational training and allow for individuals to train together and motivate each other even when they were remote from one another. It is well known that training with a partner can facilitate and enhance the workout through mutual motivation and friendly competition. Embodiments of the present invention provide and allow individuals who are remote from one another to train together. For example, remote individual may share data including physiologic states (pulse, respiration, fatigue etc.) and sporting activity (how fast they are running, biking, etc.). Embodiments of the invention include means for each individual to send user generated feedback to one another such as coaching and encouragement. In some embodiments, virtual reality (VR) or similar technology may be used in order to allow each of the individuals who are sharing data to virtually participate in the environment of the other. For example, an individual on a stationary bike could wear VR goggles that presented a particular simulated/virtual environment that replicates the environment and/or activity of another individual. Wearable devices such as Fit Bit®, apple watches, etc. comprise sensors and other hardware that allows the measurement of certain personal data of the wearer. Additional wearable sensors could also be employed and a computer interface used to calculate and derive specific data about an individual during athletic activity. By sharing this data, individual athletes may compete remotely and may encourage or motivate one another. The shared data may be displayed in real time via a personal device such as a smartphone, smart watch or the like according to some embodiments.
In some embodiments, the raw sensor data is communicated to a remote server (not on the person of the athlete) which processes the data and generates derived data, and this data is then communicated back to the athletes for display. 815 and 825 illustrate examples of information that may be displayed or otherwise communicated to the Athlete1810 and Athlete2850 respectively. These are examples only and the invention is not limited to any particular data being displayed (or not displayed) or by any means of displaying or otherwise communicating data and/or coaching to the athletes. As shown in
While the invention has been described with reference to exemplary embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. Furthermore, while the above description contains much specificity, these should not be construed as limitations on the scope of any embodiment, but as exemplifications of the presented embodiments thereof. Many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed as the best or only mode contemplated for carrying out this invention, but that the invention will include all embodiments that may be contemplated based on the above description. Also, in the drawings and the description, there have been disclosed exemplary embodiments of the invention and, although specific terms may have been employed, they are unless otherwise stated used in a generic and descriptive sense only and not for purposes of limitation, the scope of the invention therefore not being so limited. Furthermore, although a variety of potential system inputs, variables, measurements, processing outputs, and other details have been described, embodiments of the invention are not limited to implementations of any specific number of these parameters, and embodiments of the invention may include a large or minimal set of these parameters depending on the application or desired need. Moreover, the use of the terms first, second, etc. do not denote any order or importance, but rather the terms first, second, etc. are used to distinguish one element from another. Furthermore, the use of the terms a, an, etc. do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item.
This application is a Divisional of application Ser. No. 17/095,058, filed Nov. 11, 2020, which is a Continuation of application Ser. No. 15/632,313, filed Jun. 24, 2017, now U.S. Pat. No. 10,835,168, which is a Continuation-in-Part of application Ser. No. 15/352,458, filed Nov. 15, 2016, which originates and claims priority to U.S. Provisional Application No. 62/258,357, filed Nov. 20, 2015. All of the aforementioned applications are incorporated by reference herein in their entireties.
| Number | Date | Country | |
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| 62258357 | Nov 2015 | US |
| Number | Date | Country | |
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| Parent | 17095058 | Nov 2020 | US |
| Child | 17470266 | US |
| Number | Date | Country | |
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| Parent | 15632313 | Jun 2017 | US |
| Child | 17095058 | US |
| Number | Date | Country | |
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| Parent | 15352458 | Nov 2016 | US |
| Child | 15632313 | US |
