A biological information measurement device according to an embodiment of the present disclosure includes a control section that controls a first connection and disconnection and a second connection and disconnection, thereby inputting, to an AD conversion section, a plurality of first analog signals for changes in impedance or conductance between electrodes of individual electrode pairs and a second analog signal for a change in impedance or conductance between the electrodes of a plurality of the electrode pairs.

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.

Dialog based testing is performed in conjunction with a three-dimensional (3D) virtual reality (VR) system including at least one loudspeaker, a microphone, and a 3D VR headset having a display for displaying 3D VR video and a gaze tracker integrated with the headset. The dialog based testing includes: rendering a 3D avatar via the display of the 3D VR headset; engaging in a dialog including causing the rendered 3D avatar to make utterances in accordance with the branching dialog script and receiving responses to the utterances from a test subject wearing the 3D VR headset including at least verbal responses received via the microphone and gaze activity recorded by the gaze tracker and traversing the branching dialog script including selecting branches of the branching dialog script based at least on the verbal responses received via the microphone; and grading the test subject based on the responses.

Deception can be evaluated by presenting a set of sentences or words to a testee, including some sentences or words that are expected to evoke significant pupil dilation in a testee who is lying and other sentences or words that are not expected to evoke significant pupil dilation in the testee. Changes in the testee's pupil size are compared to ascertain whether a pupil-dilation response to certain sentences or words is larger than for other sentences or words, and an indication of deceptiveness or non-deceptiveness is output based on the results of the ascertaining.

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.

The present application discloses a deception detection systems and processes that use a processor; an eye tracking device connected to the processor, and a set of physiological sensors connected to the processor. The eye tracking device may comprise an infrared camera that is positioned to be able to track the oculomotor activity of a subject. The deception detection system also includes a respiratory sensor connected to the processor positioned to be able to track the respiration of the subject and an electrodermal sensor connected to the processor positioned to be able to detect the electrodermal activity of the subject. Additionally, the deception detection system includes a cardiovascular sensor connected to the processor positioned to be able to detect the cardiovascular activity of the subject and a speaker connected to the processor positioned to be able to transmit sound to the subject.

According to the invention, is provided a data processing system for determining congruence or incongruence between the body language and the Speech of a person, comprising a self-learning machine, such as a neutralneural network, arranged for receiving as input a dataset including : approved data of a collection of analysed Speeches of persons, said approved data comprising for each analysed Speech: * a set of video sequences, comprising audio sequences and visual sequences, each audio sequence corresponding to one visual sequence, and * an approved congruence indicator for each of said video sequence—said self-learning machine being trained so that the data processing system is able to deliver as output a congruence indicator.

Systems and methods for detecting deceptive intent of a subject include observing eye movements of the subject and correlating the observed movements to known baseline neurophysiological indicators of deception. A detection system may record eye movement data from the subject, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not the subject is lying. The detection system may create an alert if deception is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device, such as a non-invasive, non-contact device attached to the subject's computing device and configured to non-obtrusively record the eye movement data.

An automatic lie detection method and apparatus for interactive scenarios, a device and a medium to improve the accuracy of automatic lie detection are provided. The method includes: segmenting three modalities, namely a video, an audio and a text, of a to-be-detected sample; extracting short-term features of the three modalities; integrating the short-term features of the three modalities in the to-be-detected sample to obtain long-term features of the three modalities corresponding to each dialogue; integrating the long-term features of the three modalities by a self-attention mechanism to obtain a multi-modal feature of the each dialogue; integrating the multi-modal feature of the each dialogue with interactive information by a graph neutral network to obtain a multi-modal feature integrated with the interactive information; and predicting a lie level of the each dialogue according to the multi-modal feature integrated with the interactive information.

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.