One or more embodiments described herein relate to predicting, using adaptive artificial intelligence techniques, typical and aberrant physiological reactions of a patient to psychiatric counseling. Treatment plans can be determined and calculated based on previously-gathered demographic and/or biometric data, and/or modifications to treatment plans can be determined and/or implemented based on emergent recognition of reaction types, such as reclassifying reactions that would previously have been deemed typical as aberrant (or vice versa).

Systems and methods to determine if an individual is impaired. The system includes a display and a stimulus on the display. The system include a controller that is programmed to move the stimulus about the display and one or more sensors that track eye movements and pupil size of a user due to movement of the stimulus or light conditions. The system includes a processor programmed to analyze the eye movements and pupil data size. The method includes using a testing apparatus and collecting data from the testing apparatus. The method includes storing the collected data. The method includes processing the data with an automated impairment decision engine to determine whether a test subject is impaired. The method may include using machine learning models or statistical analysis to determine whether a test subject is impaired. The automated impairment decision engine may be trained using machine learning and/or statistical analysis.

A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

A vehicle includes a processing device that detects an authentication device approaching the vehicle, determines a user's impaired state based on user condition information acquired using at least one device mounted on the vehicle, and performs a safe driving assistance service. The safe driving assistance service can prevent an impaired user from operating the vehicle.

Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

A system-on-chip contactless physiological sensor (10) is provided which comprises a capacitive-sensor electrode (14) having a first capacitance (C1) and an amplifier device (18) connected to the capacitive-sensor electrode (14), the capacitive-sensor electrode (14) and amplifier device (18) at least in part forming an amplifier circuit for the physiological sensor (10). An artefact-reducing capacitor (20) is then connected in series between the capacitive-sensor electrode (14) and an input of the amplifier device (18), the artefact-reducing capacitor (20) having a second capacitance (C2) which is less than the first capacitance (C1). In this sensor (10), there is no impedance boosting input between the capacitive-sensor electrode (14) and the input of the amplifier device (18).

A headset comprise a frame and a vibration sensor coupled to the frame. The vibration sensor may be located in a nosepad of the frame, and configured to measure tissue vibrations of a user when the headset of worn by the user. A controller receives a signal corresponding to the measured vibration data from the vibration sensor, and analyzes the received signal to infer a sequence of states of the received signal, such as a sequence of respiratory states. The controller further determines a value of a health metric based upon the inferred sequence of states, e.g., a respiratory rate of the user, and performs an action using the determined value of the health metric.

The invention relates to a method of processing data representative of a person’s binocular motricity, the method comprising the following steps: stimulating the binocular motricity of a person by means of a binocular motricity stimulation device (21) configured to specifically stimulate saccades, vergences or a combination of both or of a reading test (22); physical stimuli in 3D real space seen with both eyes naturally (without artifices); acquiring the movement of the right eye (RE) and the left eye (LE) of a person (P) during said stimulation and, if applicable, a stimulation signal from the binocular motor stimulation device; the method comprising the following steps implemented in a processing unit (3); determination from the movement of the left eye (LE) and the right eye (RE), of an effective trajectory (Tr1) of the eyes in response to each stimulation, an effective trajectory corresponding to a saccade and/or a vergence movement of the eyes.

Disclosed is a method of identifying dementia using at least one processor of a device according to some embodiments of the present disclosure. More particularly, the method may include performing a first task of causing for a user terminal to display a first screen including a sentence; performing a second task of causing for the user terminal to acquire an image including user’s eyes in association with displaying a moving object instead of the first screen; and performing a third task of causing for the user terminal to acquire a recording file in association with displaying a second screen in which the sentence is hidden, wherein the first task includes a sub-task of causing color of at least one word constituting the sentence included in the first screen to be sequentially changed.

Methods, computer-readable media, systems, and/or apparatuses are provided for providing offer and insight generation functions. User input requesting an offer or insight may be received and an image of a photographic identification of a user may be requested. The image of the photographic identification may be captured and stored. A self-captured image of the user may be captured (e.g., via an image capture device of the computing device) and compared to an image of a user from the photographic identification. Responsive to determining that the images match, displaying an instruction to capture a vehicle identification number. The vehicle identification number may be captured. Data, including location data, may be extracted and an archive including the extracted data may be generated and the data may be transmitted to an entity computing system for processing. The entity computing system may evaluate the data and generate one or more insights and/or outputs.