This disclosure discloses a method and apparatus for processing a motor MI-EEG signal and a storage medium. The method includes: inputting a source MI-EEG signal belonging to a source domain and a target MI-EEG signal belonging to a target domain to an initial feature extraction model to obtain first source MI features and first target MI features; inputting the first source MI features to an initial classification model to obtain a first classification result outputted by the initial classification model, the first classification result representing an action predicted to be performed in the source MI-EEG signal; and adjusting a model parameter of the initial feature extraction model and/or a model parameter of the initial classification model when a certain condition (set) is met.

A heartbeat sensor obtains a heartbeat of a driver. A concentration level computing unit estimates a concentration level of the driver at a time later than a timing of obtaining the heartbeat by the heartbeat sensor, on the basis of the heartbeat obtained by the heartbeat sensor. A state determining unit controls driving assistance for a vehicle on the basis of a comparison of the concentration level of the driver estimated by the concentration level computing unit with a target concentration level of the driver that is set in association with a position or an environment in which the vehicle driven by the driver is predicted to travel.

Disclosed is a computer-implemented method for determining a measure of the causal interdependence of a source dataset S and a target dataset Y in the simultaneous presence of a non-empty confounding dataset B. The method includes a dimensional modification step to reduce the complexity of the data and an augmentation step to add information to the dimensionally modified data without a significant increase in size or complexity of the data. The augmented dimensionally modified data is used to calculate a measure of the causality or relatedness between the source dataset S and the target dataset Y. The method enables linear or nonlinear causality analysis of high-dimension multivariate time-series or features datasets, such as time-series datasets generated by functional MRI full-brain scans.

An onboard system equipped to a vehicle includes a vehicle control device controlling a switching of a driving mode of the vehicle between a manual driving and a self-driving, and a brain activity sensor capable of detecting an activated portion of a brain of a driver of the vehicle. The vehicle control device determines whether a degree of uneasiness felt by the driver exceeds a threshold or not based on a detection result detected by the brain activity sensor before the switching of the driving mode. When determining that the degree of uneasiness felt by the driver does not exceed the threshold, the vehicle control device switches the driving mode. When determining that the degree of uneasiness felt by the driver exceeds the threshold, the vehicle control device performs a vehicle control corresponding to the degree of uneasiness felt by the driver.

Systems, methods and devices estimate quality of sleep intervention techniques. Systems include a communications interface configured to receive measurement data from a plurality of data sources, the measurement data including a plurality of measurements of biological parameters of a user before and after a sleep intervention treatment, the communications interface being further configured to receive treatment data comprising one or more treatment parameters associated with the sleep intervention treatment. Systems also include a processing device including one or more processors configured to generate at least one sleep model for the user based on the received measurement data and treatment data, the processing device being further configured to generate a user interface based, at least in part, on the at least one sleep model. Systems also include a memory device configured to store the at least one sleep model.

Provided are systems, methods, and devices for sleep intervention quality assessment. Methods include receiving measurement data from a plurality of data sources, the measurement data comprising a plurality of measurements of biological parameters of a user before and after a sleep intervention, and receiving treatment data comprising one or more treatment parameters associated with the sleep intervention.

Methods further include generating, using one or more processors, a plurality of quality assessment metrics based on the received measurement data, the plurality of quality assessment metrics being generated based, at least in part, on a comparison of the plurality of measurements of biological parameters before and after the sleep intervention, and generating a report based, at least in part, on the plurality of quality assessment metrics.

A distributed control system includes a remote control system configured to be communicatively coupled with plural separate vehicle systems. The remote control system is configured to remotely control operation of the vehicle systems and/or communicate with the local vehicle control system or operator. The remote control system also is configured to one or more of change how many of the vehicle systems are concurrently controlled by the remote control system or change how many remote operators of the remote control system concurrently control the same vehicle system of the vehicle systems.

Disclosed is a system for increasing attention ability of a user using a gameplay. The system may include a display device configured to display a moving image comprising an object, a cursor and a points counter. Further, the system may include an audio device configured to produce acoustic waves based on a sound data associated with a level. Further, the system may include an input device configured to receive a spatial input data. Further, the system may include a processing device communicatively coupled to each of the display device, the audio device and the input device. Further, the system may include a storage device communicatively coupled to the processing device. Further, the storage device may be configured to store digital data corresponding to an object, a cursor, a current cursor location, a previous cursor location, a geometric shape and the sound data in association with the multiple level indicators.

Embodiments of portable cranial anatomy injury evaluation systems, apparatus, and methods are described generally herein where the system and apparatus may include multiple signal generation devices including photonic, acoustic, and electrical signals. Other embodiments may be described and claimed.

A device, a system, a method, and a program are realized which are capable of predicting the order of the feeling and the preference of a subject to products which are the research objects, for marketing research and others. The images of a plurality of research objects are presented a plurality of times as visual stimuli in order to measure the brain wave. A brain wave data of an event related electrical potential for the research objects which the subject has selected as a target immediately after the stimulus presentation, is processed by a linear discriminant analysis to quantitatively represent with a single index, in order to rank the research objects.