A method comprising measuring skin conductivity level of a human subject responsive to a series of preliminary questions; measuring skin conductivity level of the human subject in response to a series of control questions; and in case that a sympathetic activation is detected, finding the authenticity of the response to the control question by comparing the recovery time of skin conductivity level for the control question with the basic recovery time. Further, a method comprising measuring heartbeat of a human subject responsive to a series of preliminary questions to which the answer is known, to derive a level of coherence of the heartbeat being a baseline heartbeat coherence level; presenting the human subject with a series of control questions, and finding the authenticity of a response to a relevant question by comparing the heartbeat coherence detected with the baseline heartbeat coherence and the unbalanced heartbeat coherence.

The invention concerns a method of analysing the brain activity of a patient performing a given task or in response to an external stimulus, by comparison of standardized data with data in a database, by means of fuzzy logic algorithms.

A method of assessing the identity of a person by one or more of: internal non-visible anatomical structure of an eye represented by the Oculomotor Plant Characteristics (OPC), brain performance represented by the Complex Eye Movement patterns (CEM), iris patterns, and periocular information. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, making an assessment of whether the subject is alive based on the measured eye movement, and assessing a person's identity based at least in part on the assessment of whether the subject is alive. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, assessing characteristics from the measured eye movement, and assessing a state of the subject based on the assessed characteristics.

A method, computer program product, and computer system for identifying at least one attribute of a user. An attention level of the user is determined with the identified at least one attribute. The attention level of the user is analyzed. An action of the user is classified as an attention deficiency event using the analyzed attention level of the user.

The present invention relates to a stimulus information compiling method for tests, characterized in that, the stimulus information compiling method comprises the following steps: selecting and using stimulus information which follows a statistics-normal distribution and is analyzed and measured by validity to form a stimulus information database (Q); reasonably setting at least one stimulus information to be a test including at least one test sequence, for a subject to make a selection according to his or her personal interests; comparing a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the distribution of the subject in each cognitive dimension. The present invention compares a test score of the subject with that of a valid sample person in a normal distribution model, thereby confirming the test result of the subject.

A system comprising: at least one hardware processor; and a non-transitory computer-readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to: receive, as input, a video image stream of a bodily region of a subject, continuously extract from said video image stream at least some of: (i) facial parameters of said subject, (ii) skin-related features of said subject, and (iii) physiological parameters of said subject, and apply a first trained machine learning classifier selected from a group of trained machine learning classifiers, based, at least in part, on a detected combination of said facial parameters, skin-related features, and physiological parameters, to determine one or more states of stress in said subject.

Automated audio multi-issue comparison test (AMCT) protocols for deception detection. In one exemplary embodiment, testing equipment that may include an eye tracking device, such as an infrared camera, computer, keyboard, mouse, chin rest, and audio output device (headphones or speaker) is used. A series of Agree and Disagree statements regarding issues of interest are presented to the examinee in an audio format as by text-to-speech narration. Each statement must include an introductory phrase, topic phrase and declaration phrase. As statements are presented, a neutral image is presented on a visual display, then replaced by an image prompting the examinee to provide a response when the statement concludes. The eye tracker measures and records eye movements during the test. At the conclusion, ocular-motor measures and test question responses are combined by means of a logistic regression equation to compute the probability of deception.

The present invention provides a health monitoring system for alerting health condition of a user, said system comprised of: At least on Replaceable elastic or semi elastic temple tip, design to be connected to a one end or part of a frame of existing eye glasses, said temple tip including at least one optic sensor, acceleration sensor or ballistocardiograph (BCG) sensor, CPU, memory, energy source and a communication module; Monitoring application implemented on at least one computerized module, for aggregating raw measurement data, analyzing raw data using health oriented AI model for prediction of health conditions and providing alerts to the user and/or entity based on said prediction.

The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Systems, devices, methods, and non-transitory computer-readable instructions for detecting deception of a subject from a media stream that capture a media stream of the subject including, the media stream including a sequence of frames, process each frame of the media stream to track a plurality of biometrics, and determine whether the subject in the media stream is deceptive based upon changes to respective biometrics.