This disclosure relates to a system and method to implement a performance test to help evaluate a patient's neurological and cognitive function. The performance test can be executed by the patient autonomously using a portable computing device, such as a tablet computer or smart phone. The portable computing device can be programmed to execute a set of modules configured to assess motor and cognitive performance, such as a manual function test module, a cognitive processing speed test module, and a movement assessment test module. The set of modules can also include a collection module to aggregate test data from the manual function test module, the cognitive processing speed test module, and the movement assessment test module.

A system for assessment of neurocognitive and neuromotor control performance, the system comprising a portable force plate configured to collect force plate data indicative of movement and postural control of a subject as the subject performs a task, a depth sensing device configured to, simultaneously with the collection of the force plate data, collect depth data of the subject as the subject performs the task, an interface board configured to, simultaneously with the collection of the force plate data and the collection of the depth data, generate stimuli to instruct the subject to perform a particular task and to generate interface board data indication of input received from the subject in response to the stimuli, and a computer-based controller configured to execute one or more neurocognitive and neuromotor control performance assessment program to analyze the force plate data, the depth data, and the interface board data.

An apparatus includes a training area in the form of an enclosed space in which light levels can be controlled, at least one physical element related to a task for which an individual is to be trained, and a lighting arrangement. The lighting arrangement generates a background luminance level in the training area sufficient to cause the vision system of the individual to function in the mesopic or low photopic range of vision, and the physical elements are themselves illuminated by an illumination means. The luminance level of the physical elements is greater than the background luminance level.

An information processor according to an aspect of the present disclosure includes a deriving unit that derives a cognitive capacity of a user on a basis of dispersion of reaction times of the user for a plurality of requests.

A method and apparatus for stimulating neural activity in the brain of a user of an apparatus with a display screen by causing at least one portion of the display screen to flicker in a controlled manner and utilizing the apparatus to measure an effect on a user exposed to the flicker for a time.

A system for monitoring the reaction of a user and for adjusting output content based on the user's reaction includes an output unit, a monitoring unit, a synchronization unit, an analysis unit and a control unit. The output unit presents content to the user. The monitoring unit monitors a user parameter during a period during which a first content is presented to the user in order to obtain monitoring data from the user. The monitoring data is synchronized during the period with the first content so as to link in time the monitoring data and the first content. The analysis unit analyzes the monitoring data and links it to the first content in order to determine the user's reaction to the first content. The control unit controls the output unit to present a second content to the user that is selected based on the user's reaction to the first content.

An electronic device for monitoring the behavior of a driver is adapted to be carried on board a vehicle and to be connected to a sensor of at least one image of the driver's head and to at least one light source positioned within a passenger compartment of the vehicle. The monitoring device includes: a module for detecting abnormal behavior of the driver, from at least one image of his head acquired by the image sensor(s); a stimulation module configured, following the detection of said abnormal behavior, to command the emission of at least one light signal by switching on at least one respective light source according to an initial stimulation level; and a module for evaluating a reaction of the driver, on the basis of at least one image of the driver's head following the emission of the light signal(s).

A device for measuring eye movement in a human subject comprises a housing, at least one stimulator mounted to the housing, and a sensor. The at least one stimulator is configured to provide stimulus to one or both eyes of the subject. The sensor is configured to collect information related to movement of one or both eyes of the subject. The device also includes a user interface that is configured to control the at least one stimulator and display information collected by the camera.

A stimulus is displayed in a visual field on a stimulus side (e.g., right or left) of a subject. An input is received from an input side of the subject. Where the input side is contralateral to the first stimulus side, a crossed reaction time is determined as a span of time between displaying the stimulus and receiving the input. Where the input side is ipsilateral to the stimulus side, an uncrossed reaction time is determined as a span of time between displaying the stimulus and receiving the input. A crossed-uncrossed difference time can be determined as a difference between the crossed reaction time and the uncrossed reaction time. The crossed reaction time, the uncrossed reaction time, and/or the crossed-uncrossed difference time can be used to determine a severity of Traumatic Brain Injury of the subject.

Systems and methods are provided for monitoring a wellness of a user. A wellness-relevant parameter representing the user is monitored at a portable device over a defined period to produce a time series for the wellness-relevant parameter. A first set and a second set of either cognitive assessment data or psychosocial assessment data are obtained for the user at respective first and second times in the defined period. A value is assigned to the user via a predictive model according to the time series for the wellness-relevant parameter, the first set of either cognitive assessment data or psychosocial assessment data, and the second set of either cognitive assessment data or psychosocial assessment data.