10 results about "Mental activity" patented technology

The invention provides a method for promoting physical and mental development of children by integrating multi-motion and cognitive skill training, and relates to the field of children education and research. The method for promoting the physical and psychological development of the children by integrating multi-motion and cognitive skill training is realized through a man-machine interaction training system, and the man-machine interaction training system achieves the training effect of promoting the physical and psychological development of the children through Internet of Things equipment and training equipment. The man-machine interaction training system comprises an exercise training module, a cognitive training module and an interaction training management module. The exercise training module and the cognitive training module are arranged in interactive training, so that brain and peripheral feelings which serve as a common center of sensory integration and psychological and mental activities are trained through a man-machine interaction method to generate benign coordination interaction, and balanced development of the body and the psychology is achieved. The brain, the vision and the small muscle group are trained through fine movement to develop fine movement skills in a coordinated mode.

A method for achieving super-resolution in localizing electrical fields measured at the head surface with electroencephalography through a generative model of the cerebral cortex that has a very high resolution of cortical surface dipoles constructed from the known properties of human cerebral cortex and adapted to optimize the Bayesian explanation the individual's cortical surface electrical fields. The iterative optimization of the prior (generative) with the posterior (observed) fields with extensive data from extended recordings provides a probabilistic estimation of the individual's functional brain activity that can be used to train artificial neural network approximations of the individual's mental activity.

A system and method for targeted treatment of human brain function using a combination of physical and mental activity to cause neurogenesis and neuroplasticity in targeted regions of the brain using computer-enhanced dual-task analysis and treatment. The system and method involve having a subject engage in physical and mental activities at levels of intensity or stress associated with increased neurogenesis and neuroplasticity, the mental activities being associated with certain brain regions intended to be targeted by the treatment, wherein the physical and mental activities are assigned based on dual-task analyses of the subject's brain function and machine learning algorithms trained to optimize the stress levels associated with the physical and mental activities to maximize neurogenesis and neuroplasticity. The physical and mental activities may be continuously adjusted to ensure that the subject remains in appropriate ranges for neurogenesis and neuroplasticity for the brain region or regions being targeted for treatment.

The present application relates to a method for performing a restoration function and an apparatus therefor, and discloses an apparatus for use with a brainwave detector, comprising: a display unit configured to display at least one object initial information of an application; the brain wave signal receiving module is used for receiving at least one brain wave signal from the brain wave detector; the analysis and judgment unit is used for analyzing and judging the at least one brain wave signal and generating mental activity classification information according to the at least one brain wave signal; and a restoration control unit which generates change information according to the mental activity classification information, restores the object initial information into object expected information according to the change information, and displays the object expected information on the display unit.

A device, used in conjunction with a brainwave detector, includes a display unit configured to display at least one object initial information of an application program, a brainwave signal receiving module for receiving at least one brainwave signal from the brainwave detector, an analysis and judgment unit analyzing and judging the at least one brainwave signal to generate mental activity classification information, and a recover control unit generating alteration information based on the mental activity classification information, recovering the object initial information into object expectation information according to the alteration information, and displaying the object expectation information on the display unit.

The utility model relates to fitness amusement equipment. The fitness amusement equipment comprises a table body, a hand stability training unit and a building block pairing unit; the table body is provided with a table top. The hand stability training unit and the building block pairing unit are both arranged on the table top. The hand stability training unit comprises a training ring and a curve rod; two ends of the curved rod are connected with the desktop; the training ring movably sleeves the outer side of the curve rod; the building block pairing unit comprises more than two sliding blocks and sliding parts; and the more than two sliding blocks are movably arranged on the table top through the sliding parts. The system is simple in overall structure, complete in function and capable of meeting the requirements of urban home-based care residents; training can be carried out according to brain power, and the requirements of brain power activities of old people are met; the device is more convenient to use and small in exercise amount, conforms to the situation that the physical function of the old people is reduced, can train the thinking of the old people, eliminates the silence psychology of the old people, and is beneficial for preventing the occurrence of the Alzheimer's disease.

A method for achieving super-resolution in localizing electrical fields measured at the head surface with electroencephalography through a generative model of the cerebral cortex that has a very high resolution of cortical surface dipoles constructed from the known properties of human cerebral cortex and adapted to optimize the Bayesian explanation the individual's cortical surface electrical fields. The iterative optimization of the prior (generative) with the posterior (observed) fields with extensive data from extended recordings provides a probabilistic estimation of the individual's functional brain activity that can be used to train artificial neural network approximations of the individual's mental activity.

The present invention addresses the problem of providing a novel technique that is very useful for predicting seizures. A program according to the present invention causes a computer to function as an acquiring unit and a predicting unit, wherein: the acquiring unit acquires log information including at least one of behavior information indicating a behavior of a subject, emotion information input on the basis of a subjective opinion of the subject, and seizure information relating to a record of seizures that have occurred in the subject; and the predicting unit predicts seizures associated with the subject's brain activity or mental activity on the basis of the log information.

User interaction concepts, principles and algorithms for gestures involving facial expressions, motion or orientation of body parts, eye gaze, tightening muscles, mental activity, and other user actions are disclosed. User interaction concepts, principles and algorithms for enabling hands-free and voice-free interaction with electronic devices are disclosed. Apparatuses, systems, computer implementable methods, and non-transient computer storage media storing instructions, implementing the disclosed concepts, principles and algorithms are disclosed. Gestures for systems using eye gaze and head tracking that can be used with augmented, mixed or virtual reality, mobile or desktop computing are disclosed. Use of periods of limited activity and consecutive user actions in orthogonal axes is disclosed. Generation of command signals based on start and end triggers is disclosed. Methods for coarse as well as fine modification of objects are disclosed.

User interaction concepts, principles and algorithms for gestures involving facial expressions, motion or orientation of body parts, eye gaze, tightening muscles, mental activity, and other user actions are disclosed. User interaction concepts, principles and algorithms for enabling hands-free and voice-free interaction with electronic devices are disclosed. Apparatuses, systems, computer implementable methods, and non-transient computer storage media storing instructions, implementing the disclosed concepts, principles and algorithms are disclosed. Gestures for systems using eye gaze and head tracking that can be used with augmented, mixed or virtual reality, mobile or desktop computing are disclosed. Use of periods of limited activity and consecutive user actions in orthogonal axes is disclosed. Generation of command signals based on start and end triggers is disclosed. Methods for coarse as well as fine modification of objects are disclosed.