Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

A method for modifying cognitive processes includes receiving respective electroencephalogram (EEG) signals from EEG sensors, where the EEG signals are of a brain of a user. Features are extracted from the respective EEG signals. A cognitive state of the brain of the user is obtained from a first machine learning (ML) model that uses the features as input. Feedback parameters of a feedback signal are obtained from a second model that uses the cognitive state as input. The feedback signal is and provided to the user and using a user device according to the feedback parameters.

This invention is a non-invasive Brain to Computer Interface (BCI) method for interpreting a word, phrase, or command from brain activity by identifying a pattern of electromagnetic brain activity which occurs when a person uses different action modalities to communicate a word, phrase, or command. This method can enable people with neuromuscular limitations and/or paralysis to communicate. It can also enable people to communicate and/or to control environmental devices via their thought patterns in situations where communication via touch screen, keyboard, mouse, voice command, or gesture recognition is not appropriate and/or possible.

There is provided a cooking robot, a cooking robot control device, and a control method that enable a cooking robot to customize a dish prepared according to a preference of an eater. The cooking robot (1) according to one aspect of the present technology controls a cooking operation performed by a cooking arm (321), using recipe data including a data set in which cooking operation data and cook biological data are linked, the cooking operation data describing information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient, and the cook biological data indicating a biological reaction of the cook measured in conjunction with a progress of the cooking process. The present technology can be applied to a cooking robot that operates an arm to cook.

A method and system for providing a user with virtual objects within an environment, characterizing interactions with the virtual objects using a brain computer interface, and modulating features of the virtual objects based upon improved classifiers associated with the interactions. The method and system can be used to rapidly customize virtual objects to a specific user in applications related to increasing engagement with traditional and new media content, virtual and augmented reality products, streamlining interactions with input devices in digital and physical environments, providing user authentication tools, providing more secure cybersecurity features, and delivering tailored content to users.

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.

A method is described, which provides electrical stimulation to a person, where the current flows from a subcranial electrode, through a target brain region, through a separate conductive path, and back to a subcutaneous electrode, and where the parameters of the electric current pulses are set to influence the resonant properties of the brain.

An automatic noise signal interval detection method and device are provided, and the method includes receiving input data and generating initial data in a time-frequency domain, calculating power for each epoch for each channel of the initial data, generating a power graph for a specific frequency region of each channel based on the power for each epoch, generating a baseline based on an average of each channel value on the power graph, and determining, as a noise signal interval, an interval exceeding a predetermined threshold based on the baseline on the power graph.

A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.