A method of operating a biological interface is disclosed. The method may include obtaining an input physiological or neural signal from a subject, acquiring an input set of values from the input signal, obtaining a predictive signal from the subject or the environment, acquiring a predictive set of values from the predictive signal, training a decoder function in response to data from the predictive set of values, performing at least one calculation on the input set of values using the decoder function to produce an output set of values, and operating a device with the output set of values. A biological interface system is also disclosed. The biological interface system may contain an input signal sensor, an input signal processor, a predictive signal processor, a memory device storing data, and a system processor coupled to the memory device and configured to execute a decoder function.

The present disclosure relates to a testing method and a testing system for a human stress reaction, and a computer-readable storage medium. The testing method for the human stress reaction includes acquiring position information and visual field information of a testee in a virtual road traffic scene after the virtual road traffic scene is established; guiding the testee into a test zone when the testee is within a test-waiting zone and when a visual field direction of the testee faces the test zone, and simultaneously, starting acquiring stress reaction data of the testee; controlling a virtual reality environment module to create a virtual stress event in the test zone after it is determined that the testee is within the test zone, and applying a stimulation to the testee, such that the testee make a stress reaction.

Provided are a disease prediction apparatus and a disease prediction method using the same, which may easily learn a biosignal, may easily make a diagnosis, and may perform analysis in real time, in order to determine a disease using a biosignal via deep learning.

System and methods are adapted to extract client attention/engagement/effort barrier electrophysiological signal during practice, to combine the attention/engagement/effort barrier with level of success of the client in performing practice task, in order to provide practice recommendation during the current session or following it.

System and methods are adapted to extract client attention/engagement/effort barrier electrophysiological signal during practice, to combine the attention/engagement/effort barrier with level of success of the client in performing practice task, in order to provide practice recommendation during the current session or following it.

This invention is a system for nutritional monitoring and management which includes a camera, a spectroscopic sensor, a fiducial component, a wearable biometric sensor, a smart utensil or dish, a passive feedback mechanism which provides a person with information concerning food item types and/or quantities, and an active stimulus mechanism which modifies the person's food-related physiological processes. This system can help a person to improve their dietary habits and health.

An electronic training system includes a set of external response sensors, a set of internal response sensors, a stimulus device, and control circuitry that receives an input via a user interface, where the input comprises a current sports performance state and a target sports performance state of a user. The control circuitry determines a set of test stimuli specific for the user and controls the stimulus device to provide the determined set of test stimuli to the user for a first test duration. A set of stimulus parameters is calibrated for the stimulus device and the stimulus device is re-configured with the calibrated set of stimulus parameters to apply a new stimulus to the user for a second duration, where the new stimulus shifts the current sports performance state towards the target sports performance state.

A headset includes a wireless encephalograph that extends from front to back over said human's head and that has electrodes. The electrodes are disposed such that when a first electrode is disposed over a first site on the human's head, the second and third electrodes are disposed over corresponding second and third sites on said human's head, wherein the first, second, and third sites are selected from the group consisting of said human's posterior cortex, anterior cortex, and motor/sensory cortex.

A headset includes a wireless encephalograph that extends from front to back over said human's head and that has electrodes. The electrodes are disposed such that when a first electrode is disposed over a first site on the human's head, the second and third electrodes are disposed over corresponding second and third sites on said human's head, wherein the first, second, and third sites are selected from the group consisting of said human's posterior cortex, anterior cortex, and motor/sensory cortex.

A system includes a sensing module configured to collect physiological information from a user; an audio input device configured to capture auditory content that is in an environment proximate the user; and one or more processors configured to: determine that a user has entered a state of inwardly focused attention based on first physiological information collected from the user; and in response, record the auditory content captured by the audio input device.