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.

The present disclosure provides an electronic device. The electronic device includes a flexible element, and a sensing element adjacent to the flexible element and configured to detect a biosignal. The electronic device also includes an active component in the flexible element and electrically connected with the sensing element. A method of manufacturing an electronic device is also disclosed.

A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

Disclosed herein are computer systems for, in part, image processing. Also disclosed herein are systems for processing ocular images of multiple imaging modalities to detect ocular diseases. Also disclosed herein are method comprising systems as described herein.

Disclosed herein are computer systems for, in part, image processing. Also disclosed herein are systems for processing ocular images of multiple imaging modalities to detect ocular diseases. Also disclosed herein are method comprising systems as described herein.

A biosignal-based avatar control system according to an embodiment of the present disclosure includes an avatar generating unit that generates a user's avatar in a virtual reality environment, a biosignal measuring unit that measures the user's biosignal using a sensor, a command determining unit that determines the user's command based on the measured biosignal, an avatar control unit that controls the avatar to perform the command, an output unit that outputs an image of the avatar in real-time, and a protocol generating unit for generating a protocol that provides predetermined tasks, and determines if the avatar performed the predetermined tasks. According to an embodiment of the present disclosure, it is possible to provide feedback in real-time by understanding the user's intention through analysis of biosignals and controlling the user's avatar in a virtual reality environment, thereby improving the user's brain function and motor function.

An example system disclosed herein for transforming neuro-response data into media ratings includes a data collector to obtain first neuro-response from a first subject exposed to a first media and second neuro-response data from a second subject exposed to a second media. The first media broadcast is before a time of the second media. The example system includes an analyzer to integrate the first neuro-response data with ratings data for the first media to generate a first rating for the first media. The ratings data is based on set-top box data associated with a media presentation device presenting the first media. The analyzer is to transform the second neuro-response data into a second rating for the second media based on the first rating.

Novel tools and techniques for assessing, predicting and/or estimating effectiveness of hydration of a patient and/or an amount of fluid needed for effective hydration of the patient, in some cases, noninvasively.

According to one embodiment, an eye movement detecting device comprises first, second, third, fourth and fifth electrodes. A line connecting the first and the third electrodes passes through the right eye and a line connecting the second and the fourth electrodes passes through the left eye on at least one of a front view, a plan view or a side view. A distance between the fifth and the first electrodes is equal to a distance between the fifth and the second electrodes. A distance between the fifth and the third electrodes is equal to a distance between the fifth and the fourth electrodes. The detector respectively detects a horizontal movement of the right eye and a horizontal movement of the left eye.