594 results about "Mental state" patented technology

A digital computer and method for processing data indicative of images of facial and head movements of a subject to recognize at least one of said movements and to determine at least one mental state of said subject is provided. The outputting instructions for providing to a user information relating to at least one said mental state. A further processing data reflective of input from a user, and based at least in part on said input, confirming or modifying said determination and generating with a transducer an output of humanly perceptible stimuli indicative of said at least one mental state.

A physical and mental health status monitor, analyze and follow up clothing system. Whose purpose is to monitor the user's body fat distribution, muscular activity and position changes to diagnose health status. Regularly giving suggestions to the user to achieve proper exercise and posture to reduce body fat and prevent muscular atrophy. While correcting the user's life style to promote better health, this system also works to reduce mental and emotional stress. Providing better healthcare and reducing the chance of disease. This system includes sensors, a close range monitoring system and long range monitoring stations, through the sensors it collects data for the monitoring system and monitoring stations to observe, analyze, diagnose and follow up on the user's physical and mental state. This system also allows the user and the long range monitoring stations to communicate with each other through the close range monitoring system.

A noise-free portable EEG system is provided. The system has hardware and software and can evaluate mental state quantitatively. The quantitative data of mental states and their levels can be applied to various areas of brain-machine interface including consumer products, video game, toys, military and aerospace as well as biofeedback or neurofeedback.

Dynamic modification of user interfaces is disclosed, based upon identification of the current state of the user and the sensing of a particular situation in which the user is involved and / or environment in which the user is situated. In particular, emotional and mental states of a user are identified and these states are taken into consideration when creating and / or adapting an interface to be used by the user. The interface is modified / created automatically based on identified user biometrics, that is, measured physical properties of the user.

With explosive penetration of portable electronic devices (PEDs) recent focus into consumer EEG devices has been to bring advantages including localized wireless interfacing, portability, and a low-cost high-performance electronics platform to host the processing algorithms to bear. However, most development continues to focus on brain-controlled video games which are nearly identical to those created for earlier, more stationary consumer EEG devices and personal EEG is treated as of a novelty or toy. According to embodiments of the invention the inventors have established new technologies and solutions that address these limitations within the prior art and provide benefits including, but not limited to, global acquisition and storage of acquired EEG data and processed EEG data, development interfaces for expansion and re-analysis of acquired EEG data, integration to other non-EEG derived user data, and long-term user wearability.

Analysis of mental states is provided using web services to enable data analysis. Data is captured for an individual where the data includes facial information and physiological information. Analysis is performed on a web service and the analysis is received. The mental states of other people may be correlated to the mental state for the individual. Other sources of information may be aggregated where the information may be used to analyze the mental state of the individual. Analysis of the mental state of the individual or group of individuals is rendered for display.

The reliability of detection of a driver's mental state in a vehicle in a driving state is enhanced without impairing operation stability of driving action of the vehicle.There are provided an imaging section 11 and a heart rate sensor 12 that serve as a plurality of detection means for detecting a driver's state; an appearance determination section 13 for determining a driver's appearance from detection results from the imaging section 11 and the heart rate sensor 12; and a mental state determination section 15 for determining a driver's mental state from the detection results from the imaging section 11 and the heart rate sensor 12. A switching section 14 switches the outputs from the imaging section 11 and the heart rate sensor 12 to an output from the mental state determination section 15 on the basis of a determination result from the appearance determination section 13.

Some embodiments of the present invention provide a system that executes an application. During operation, the system physiologically monitors a user of the application with a set of sensors as the application executes. Next, the system assesses a mental state of the user based on physiological data collected from the sensors. Finally, the system changes the behavior of the application based on the assessed mental state to facilitate use of the application by the user.

Methods, apparatus, non-transitory computer readable storage medium, computer systems, networks, and / or systems using a wireless device for detection and tracking of user's data that uses electromagnetic frequency (EMF) identification (EMFID) technologies to provide data transfer and communications for EMFID sensors for automatic identification data collection of personal data for one or more individuals or end user, multiple EMFID tag interactions, remotely storing, monitoring and retrieving data and location data, physical, emotional and mental state data, integration of biometric data, healthcare, physical health conditions, medical conditions, diseases and conditions for disease control and prevention, pharmaceutical data and other data to develop a profile for one or more individuals, using radio and other frequency tags and relaying data from EMFID tag interactions to a database that can be accessed by members of a network, wherein predictive analytics are used for one or more individuals analysis, marketing, monitoring, behavior, diagnosis and promotions, of interest, of medical care, drugs, products, illegal activity, or other services, of interest, of past, present or future customers, users, targets and / or target markets.

A psychotic manifestation and mental state evaluation apparatus and method which can individually discriminate among symptoms by taking advantage of stimulating Noh mask images and also evaluate with a high probability whether a person is suffering from a specific symptom at the time of diagnosing, clinical examination, assessment, or counseling.

Methods of modifying a subject's cognitive state by applying transdermal electrical stimulation (TES). In particular, described herein are methods of applying TES using a pair of electrodes each positioned at a particular location on the skin of the subject's head, or the head and neck, to evoke a predetermined cognitive state using a TES applicator. In particular, described herein are methods of enhancing attention, alertness, or mental focus or of enhancing a calm or relaxed mental state by applying high-intensity TES across electrodes positioned on the subject's temple and either the mastoid region or on the subject's neck. The subject may control the application directly and TES may be applied by a portable, including wearable, TES applicator.

The invention provides a man-machine motion interaction system and method based on expression recognition. The system comprises an image acquisition module, an image processing module, an expression recognition module, a man-machine interaction module and a storage module. The image acquisition module acquires a facial image; the image processing module processes the acquired facial image for graying, size adjustment and the like; an expression in the facial image is recognized by means of expression recognition; the man-machine interaction module feeds back to a user according to the facial expression; the statistical and storage module analyzes mental state of the user at this moment and records the mental state; meanwhile, a statistical query function is provided for the user. After applied to intelligent equipment, the system is capable of providing specific humanized responses so that the equipment can be more intelligent; when applied to mental care robots, the system is capable of capturing patients' expressions to allow for simple and effective communication with patients, so that the patients with mental illnesses can be supervised safely in real time, and effective data basis for treatment is provided for doctors.

Systems and processes that incorporate teachings of the subject disclosure may include, for example, receiving, by a system including a processor, physical states of multiple anatomical locations of a body. Each of the physical states includes one of a position, an orientation, and motion, such as velocity or acceleration, or combinations thereof. A relationship between mental states and body configurations is accessed. A mental state, such as mood or emotion, is determined as the mental state corresponding to a body configuration matching the configuration of a portion of the body corresponding to the physical states of a group of the multiple anatomical locations. Data indicative of the mental state is provided, for example, to adjust another system or application, such as a contextual computer or entertainment system. Other embodiments are disclosed.

The invention discloses a remote Chinese teaching system based on speech emotion recognition, which comprises six modules of Chinese pronunciation practice, speech emotion processing, speech emotion analysis, user management, learning effect analysis and evaluation and curriculum management. Relevant theory of speech signal processing and statistical signal processing is used for analyzing the speech that users input in the speech emotion processing module to recognize different emotion states of the users, the corresponding mental states are analyzed in the speech emotion analysis module and the purpose of individual study according to the emotions of the users is realized through the dynamic interaction of the learning effect analysis and evaluation module, the curriculum management module and the user management module. The designed proposal carries out complete revolution of traditional teaching with an 'extreme equalitarianism, even distribution' type and really realizes a teaching type according to different people, time and things. Teaching proposals are designed according to the emotions of the users, and can effectively promote learning efficiency and integrate teaching and happiness.

The present invention provides a computerized system for diagnosing a subject's mental state on the basis of subject's behavior, as measured within a framework of virtual reality environments. The system is utilizes fuzzy logic clustering application for creating behavioral-mental profile of the user. The virtual realty environment is designed to measure a specific behavior pattern, which represents a cognitive or physical functionality. The system output is used as basis for formulating a complete mental diagnosis of the examined subject.

Some embodiments of the present invention provide a system that executes an application. During operation, the system physiologically monitors a user of the application with a set of sensors as the application executes. Next, the system assesses a mental state of the user based on physiological data collected from the sensors. Finally, the system changes the behavior of the application based on the assessed mental state to facilitate use of the application by the user.

An emotion monitoring method for special people includes: acquiring neural physiological information, and acquiring electroencephalogram signal and brain blood oxygen signal; performing signal treatments including signal pretreatment, feature extraction and emotion recognition; determining intervention type, determining recognized emotions, and returning to a start phase to continue monitoring if a user is calm or positive emotionally, or proceeding a next phase if not; performing systematic intervention, namely determining the manner of systematic auxiliary emotion regulation and intervention or remote intervention according to different emotions; and storing data, drawing an emotion periodic table in a certain period, and recording and storing mood fluctuations of a user. By the aid of portable detection of electroencephalogram and brain blood oxygen signals, accurate emotion status is recognized, unhealthy emotions of users and the outside world can be helped and noticed timely, humane placation measures are taken, emotion statuses of the users can be improved, mental state deterioration can be avoided for the users, and nursing burden and physiological pressure of family members of a patient with emotional disorder can also be relieved.

Methods, systems, and apparatus implementing a generalizable self-calibrating protocol coupled with machine learning algorithms in an exemplary setting of classifying perceptual states as corresponding to the experience of perceptually opposite mental states (including pain or no pain) are disclosed. An embodiment presented represents inexpensive, commercially available, wearable EEG sensors providing sufficient data fidelity to robustly differentiate the two perceptually opposite states. Low-computational overhead machine learning algorithms that can be run on a mobile platform can be used to find the most efficient feature handles to classify perceptual states as self-calibrated by the user. The invention is generalizable to states beyond just pain and pave the way towards creating EEG NFB applications targeting arbitrary, self-calibrated perceptual states in at-home and wearable settings.

Disclosed is an electroencephalogram signal processing method and device. Acquired electroencephalogram signals are subjected to amplification preprocessing, Kaiser Window processing is performed on digital electroencephalogram signals including alpha wave, beta wave, theta wave and delta wave, and index parameters of the electroencephalogram signals are obtained through amplitude analysis, time domain analysis and frequency domain analysis. The electroencephalogram signal processing device comprises an electrode sensor, a preprocessing device, an analog / digital (A / D) conversion unit, a digital signal processing unit, an output unit, a display control unit and a storage unit. The electroencephalogram signal processing device is combined with a computer software analyzing and processing device, and human-machine operation is utilized to achieve functions of result display, healthcare advice, voice prompt and the like. The electroencephalogram signal processing device is convenient, easy to use, low in cost, maintenance-free and capable of conveniently displaying the current mental state and electroencephalogram in real time for students, white-collar employees and mental workers.

A means and method for inducing a temporary physiological state-of-mind to effect persistent changes to the cognitive-emotive profile of an individual, which is adaptable for neurofeedback and “mental-state” therapeutic and non-therapeutic interventions. The system comprises an EEG Recording Module (ERM), a Neurodynamics Assessment Module (“NAM”), and a Transcranial Magnetic Stimulation module (“TMS”) for acquiring and manipulating bioelectrical and / or EEG data, defining a cognitive-emotive profile, and mapping the cognitive-emotive profile to selectively control transcranial magnetic stimulation to drive therapeutic and non-therapeutic stimulus interventions. A bi-directional feedback feature is provided to further enhance the performance of the system to effect prolonged changes.

A system and method for adaptive therapeutic intervention to effect real-time changes in the behavioral profile of an individual to facilitate the effectiveness of combined bioelectric sensing and biosensory based therapy for specific disorders. The system and method induces a temporary physiological state-of-mind (e.g., increased relaxation) to effect persistent changes to the cognitive-emotive profile of the individual (e.g., reduce internal tinnitus). The sense- and mental state-awareness responses, integrated into a two-way (i.e., bi-directional) feedback system using a dynamic interface with intelligently controlled thresholds. The invention takes into account details of multi-variate and nonlinear dynamics and database templates to more accurately compute the user's “state-of-mind.” It then utilizes this “state-of-mind” to drive therapeutic and non-therapeutic stimulus intervention. By way of a “combinatorial stimulation sequence” approach that uses customized sounds, the present invention creates a fine-tuned and well-controlled process. The significance of this interactivity is a prolonged change in the individual's cognitive-emotive profile.

The invention discloses an intelligent monitoring system and method for health of empty-nest aged people. The intelligent monitoring system comprises a multi-mode real-time detection module, a big data analysis module and a 4G network response module, wherein the multi-mode real-time detection module is used for collecting multi-mode health data of the empty-nest aged people and judging an urgent abnormal event; the big data analysis module is used for analyzing the health data, establishing a health state model and pre-warning an abnormal state; and the 4G network response module is used for pushing the urgent abnormal event and the abnormal state in real time and realizing interactive operation with a user operation terminal. Meanwhile, the intelligent monitoring system adopts a dual-warning mechanism, so that accurate and comprehensive intelligent monitoring of the physical state and mental state of the empty-nest aged people can be realized; and by utilizing the operation terminal, a guardian and a medical worker can timely obtain corresponding warning information and selectively check the health state of the empty-nest aged people at any time, and the monitoring manner is changed from a traditional passive accepting form into an automatic query form.

Mental state of a person is classified in an automated manner by analysing natural speech of the person. A glottal waveform is extracted from a natural speech signal. Pre-determined parameters defining at least one diagnostic class of a class model are retrieved, the parameters determined from selected training glottal waveform features. The selected glottal waveform features are extracted from the signal. Current mental state of the person is classified by comparing extracted glottal waveform features with the parameters and class model. Feature extraction from a glottal waveform or other natural speech signal may involve determining spectral amplitudes of the signal, setting spectral amplitudes below a pre-defined threshold to zero and, for each of a plurality of sub bands, determining an area under the thresholded spectral amplitudes, and deriving signal feature parameters from the determined areas in accordance with a diagnostic class model.

With explosive penetration of portable electronic devices (PEDs) recent focus into consumer EEG devices has been to bring advantages including localized wireless interfacing, portability, and a low-cost high-performance electronics platform to host the processing algorithms to bear. However, most development continues to focus on brain-controlled video games which are nearly identical to those created for earlier, more stationary consumer EEG devices and personal EEG is treated as of a novelty or toy. According to embodiments of the invention the inventors have established new technologies and solutions that address these limitations within the prior art and provide benefits including, but not limited to, global acquisition and storage of acquired EEG data and processed EEG data, development interfaces for expansion and re-analysis of acquired EEG data, integration to other non-EEG derived user data, and long-term user wearability.

The invention discloses a music player, which comprises a brain wave sensor, a signal transmission device, a play processing chip, a searching module and a playing module. Being matched with a local or an internet media library, the music player can realize a function on automatically playing an appropriate music according to the metal status of a user. When in use, the brain wave sensor is arranged to be closely attached to the head of a user so as to monitor the current mental state of the user through the brain wave signal and to select the appropriate music to play, so the intelligent play of the music is realized, and the user experience can be improved.

One embodiment of the present invention provides a system that for facilitating assessment of collision between a primary principal and a non-primary principal for early warning. During operation, the system periodically performs the following operations: The system obtains a current observation of the primary principal and non-primary principal. The system then assesses one or more future states for the primary and non-primary principals, respectively, based on: the current observation of the primary and non-primary principals, a dynamics model of the primary principal, and a mental-state model of a person associated with the primary principal. The system further produces one or more results which indicate an assessment of collision between the primary and non-primary principals.

The invention discloses a vehicle active safety system alarm shielding device, which comprises a driver attention detection module, a vehicle-mounted active safety system module and a comprehensive alarm control module, wherein the driver attention detection module is used for comparing human eyesight data with an attention prediction result and comprehensively judging the mental state of a driver in combination with vehicle body signals; the vehicle-mounted active safety system module is used for actively analyzing and judging the running safety condition of a vehicle and reminding the driver; the comprehensive alarm control module is used for judging whether to turn on or shield the vehicle-mounted active safety system module or not according to the detection result of the current driver mental state, or actively giving an alarm to the driver, wherein the alarm can be a sound-light alarm or an alarm of other types. The vehicle active safety system alarm shielding device has the advantages that the realization principle is simple, the reliability is good, the intelligent level is high, the timely and active safety control can be realized and the like.

An apparatus for assessing the brain state of a patient comprises at least one sensor to monitor at least one physiological variable, which provides at least one output signal. In addition, the apparatus for assessing the brain state of a patient comprises a computer processor for receiving the at least one output signal, wherein the computer processor filters the at least one output signal and applies pattern recognition techniques in evaluating the brain state of the subject. The computer processor comprises a first filtering module, which removes transient events not indicative of a brain state, and a second filtering sub-module, which groups together multiple modalities on the basis of classification techniques and incorporates additional information regarding mental states.