The present invention relates to a device, system and method for determining an emotional state of a user based on emotion-induced cortisol estimation. The device comprises an interface (11) for obtaining a psychophysiological signal trace (22) indicative of one or more measured stimulus responses corresponding to a neural stress response; a processing unit (12) for processing the psychophysiological signal trace, wherein the processing unit is configured to determine one or more stimulus responses (29) in the psychophysiological signal trace (22); to determine a first contribution (91) to an estimated future cortisol level trace (93) based on the one or more determined stimulus responses (29) in the psychophysiological signal trace (22);to determine a second contribution (92) to the estimated future cortisol level trace (93) based on one or more anticipated future stimulus responses (96); and to determine an estimated future emotional state of the user based on said first and said second contribution to the estimated future cortisol level trace (93). The invention further relates to a corresponding computer program and a wearable device (30).

A distributed discernment system that includes discernment server including a processer running a diagnostic program and server interface permitting communications to and from the discernment server where the discernment system communicates with two or more human interface devices, where each human interface device includes display capable of presenting a video segment of a virtual human interviewer asking a question to an interviewee and sensors capable of detecting various responses of a human interviewee to each presented question where the discernment server includes a diagnostic that generates interview instructions to be provided to a plurality of human interface devices over the communications network, wherein the instructions provided to a given human interface device are intended to cause the human interface device to present certain questions to a human interviewee interacting with the device and wherein the discernment server is adapted to receive data from each of a plurality of the human interface devices and analyze such data to provide an assessment of the state of the human interviewee interacting with the human interface device.

Systems and methods for measuring physiological responses caused by cognitive load and stress to calculate a probability of deception. The system comprises modules to determine changes in pupil dilation, flicker frequency, pupil eye trajectory, face temperature, respiratory rate, position of the user's facial points, heart rate, skin conductivity, body movements, arm temperature, temperature, and electroencephalography signals; and modules to provide stimuli to the user, record conscious responses from the user, receive physiological signals, and determine changes in the user's physiological variables associated with stress and cognitive load in response to the stimuli generated, to calculate a likelihood of deception in conscious responses.

Examples herein include systems for detecting cheating and changes in mental performance in card games, including bridge. The system can acquire board data for multiple events, the events including bridge games. For each event, determining performance values for a player based on the board and play data, wherein the performance values may additionally be based in part on timing data. The system can detect a deviation of by comparing the performance values against a threshold, wherein the threshold is based on past performance of known cheating players or the individual player. Then the system can alert a user when the likelihood of cheating or other changes exceeds a threshold.

An emotional or mental belief system reprogramming system is disclosed. The system includes a digital framework including a pattern recognition module configured to identify and recommend reprogramming and alter a health status of a user, the digital framework includes (1) a digitally recorded library of human emotions, unconscious agendas, perceptions, beliefs, and mindsets of a control group of users selected from a population of users (2) a question engine configured to interrogate the user using a library of predetermined questions and to identify a plurality of underlying unconscious agendas of the user that generate behavior of the user and associated negative emotions of the user, (3) an expressive, experiential digital agent having digitized color, gestures, expressions, movements, emotions, beliefs, intent, intuition, and haptic effects, the digital agent configured to interact with the user in real time, to ask questions, to engage the user.

Aspects relate to apparatuses and methods for individualized polygraph testing. The apparatus including at least an interface configured to communicate questions to the user, at least a sensor configured to detect biofeedback signals as a function of a biofeedback of a user, wherein the biofeedback is associated with at least an answer to at least a question, and at least a computing device including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive the biofeedback signals, generate a user state classifier, train the user state classifier as a function of a user state training set, wherein the user state training set includes biofeedback signals correlated to answers of known veracity, and classifying a biofeedback signal of the biofeedback signals to a user state as a function of the user state classifier.

A method to optimize learning based upon ocular information of a subject includes providing a video camera for recording a close-up view of a subject's eye. A first electronic display shows a plurality of educational subject matter to the subject. A second electronic display shows an output to an instructor. Changes in ocular signals of the subject are processed through the use optimized algorithms. A cognitive state model determines a low to a high cognitive load experienced by the subject. The cognitive state model is evaluated based on the changes in the ocular signals for determining a probability of the low to the high cognitive load experienced by the subject. The probability of the low to the high cognitive load experienced by the subject is displayed to the instructor.

Systems, methods, computer-readable storage mediums including computer-readable instructions and/or circuitry for generating deceptive indicia profiles may implement operations including, but not limited to: detecting one or more indicia of deception associated with one or more signals associated with communication content provided by a participant in a first communications interaction; detecting one or more indicia of deception associated with one or more signals associated with communications content provided by the participant in a second communications interaction; generating a deceptive indicia profile for the participant according to indicia of deception detected in the communications content provided by the participant in the first communications interaction and indicia of deception detected in the communications content provided by the participant in the second communications interaction; and providing a notification associated with the deceptive indicia profile for the participant to the participant.

In an illustrative embodiment, systems and methods for automating candidate video assessments include receiving a submission from a candidate for an available position including baseline response video segments and question response video segments. The system can determine, from detected nonverbal features within the baseline response video segments, nonverbal baseline scores. For each of the interview questions, candidate response attributes can be detected including a response direction, a response speed, and nonverbal features. A nonverbal reaction score is calculated from the detected nonverbal features and the baseline scores. A response score can be calculated from the response direction and response speed, and a trustworthiness score is determined based on a correspondence between the response score and the nonverbal reaction score. A next interview question can be determined in real-time from a benchmarked version of the response score. Overall scores reflecting candidate trustworthiness can be presented within a user interface screen.

An infrasonic stethoscope for monitoring physiological processes of a patient includes a microphone capable of detecting acoustic signals in the audible frequency bandwidth and in the infrasonic bandwidth (0.03 to 1000 Hertz), a body coupler attached to the body at a first opening in the microphone, a flexible tube attached to the body at a second opening in the microphone, and an earpiece attached to the flexible tube. The body coupler is capable of engagement with a patient to transmit sounds from the person, to the microphone and then to the earpiece.