Disclosed is a psychomotor ability assessment method based on multi-target tracking paradigm, which includes the following steps: analyzing research data of psychomotor ability, determining a plurality of measurement dimensions of psychomotor ability, and designing an experimental task paradigm based on the plurality of measurement dimensions, wherein the experimental task paradigm is used for representing a level of the plurality of measurement dimensions; designing evaluation schemes of the measurement dimension based on the experimental task paradigm; evaluating a ability dimension of a person to be detected based on the evaluation schemes, collecting and processing evaluation data, and calculating a weight value of the ability dimension to obtain an evaluation result of the psychomotor ability.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user’s attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

Cognitive and mood states of a real world person are assessed according to activity in a virtual world environment with which the person interacts. The virtual world is configured to provide interactive experiences for assessing the person's cognitive and/or mood states. The system requires configuration of a session avatar during each virtual world session to provide then-current insight into the person's mood state. The system may require configuration of an avatar reflective of the person's state. The system requires the person to configure the virtual world environment during each virtual session to provide then-current insight into the person's mood state. The system permits the user to visit destinations, perform tasks and play games that are included in the environment for the purpose of providing insight into the person's cognitive and/or mood states according to the person's selections and/or performance.

Devices, systems, and methods are provided for analyzing and treating learning disorders using software as a medical device. A method may include identifying, by a device, application-based cognitive musical training (CMT) exercises associated with performance of software; receiving a first user input to generate a first sequence of the application-based CMT exercises; presenting a first application-based CMT exercise of the application-based CMT exercises based on the first sequence; receiving, during the presentation of the first application-based CMT exercise, a second user input indicative of a user interaction with the first application-based CMT exercise; generating, based on a comparison of the second user input to a performance threshold, a second sequence of the application-based CMT exercises, the first sequence different than the second sequence; and presenting a second application-based CMT exercise of the application-based CMT exercises based on the second sequence.

A virtual or augmented reality based system for assessment and measurement of reaction time is disclosed. In various embodiments the system, methods, and computer program products relate to assessing and measuring a reaction time of a patient/user in virtual reality (VR) or augmented reality (AR) environments. The VR/AR system may provide a sensory stimulus to the patient/user in the VR/AR environment, determine a plurality of motion parameters, and determine a reaction time based on the plurality of motion parameters by applying a time window selection model. In various embodiments, a time window shrinkage model may be applied after the time window selection model.

Apparatus, systems, and methods are provided for generating a quantified indicator of cognitive skills in an individual. In certain configurations, the apparatus, systems, and methods can be implemented for enhancing cognitive skills in an individual.

A mental impairment detection system and non-invasive method of detecting mental impairment of a user are provided. A test (e.g., an inhibitory reflex test or a sustained attention test) is administered to the user, brain activity in a frontal lobe of the user is non-invasively detected while the test is administered to the user, and a level of mental impairment of the user is determined based on the brain activity detected in the frontal lobe of the user.

To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios. In another implementation, the pipeline decomposes the physiological data into frequency-banded components, identifies brain states derived from the decomposed data—for example, clusters of correlations of decomposed data envelopes—grades the performance data, compares the graded performance data to the brain states, and identifies statistical relationships between the brain states and levels of performance.

A sensing and processing system includes a plurality of wearable sensing devices each including an inertial measurement unit (IMU) to be positioned on a subject and generate accelerometer signals and gyroscope signals. The system includes a processor to identify near-fall events indicative of the subject nearly falling down based on the generated accelerometer signals and gyroscope signals, and wherein the processor is to generate, for each of the near-fall events, subject response data indicative of a recovery response of the subject to recover from the near-fall event.