Attention training system based electroencephalographic multi-parameter virtual reality situational task

Abstract

The invention relates to a sensory integrative dysfunction measurement and training system based on virtual reality audio-visual channels, and solves the problems such as reasonable design in the prior art. The system comprises a hand force stroke acquisition module, a foot force stroke acquisition module, a force stroke data processing module and a power supply module. The power supply module isconnected with a hand space position acquisition module, a foot space position acquisition module and a space motion data processing module, respectively. Both the force stroke data processing moduleand the space motion data processing module are connected to a main control module, and the main control module is respectively connected with a virtual reality head-mounted module and a virtual reality audio-visual cognitive task presentation module. The main control module is connected to a sensory integrative test phase unit and / or a sensory integrative training phase unit. The system of the present invention comprises the advantages of instructing a trainer to autonomously adjust the change on electroencephalograph, so as to reach a preset range of electroencephalographic parameters, and strengthening autonomous regulation ability to electroencephalograph by training, thereby achieving the purpose and effect of training attention.

Description

technical field [0001] The invention belongs to the technical field of virtual reality equipment, and in particular relates to a virtual reality situational task attention test and training system based on EEG multi-parameters. Background technique [0002] Human cognitive abilities include abilities such as orientation, perception, language, calculation, memory, and attention. Attention is the basis of all cognitive abilities and the most critical factor in human learning, work and life. With the rapid development of modern society, various learning and work tasks require more and more attention. For children, only children with concentrated attention can master more knowledge in the same time, or master knowledge more efficiently. If the child's attention is not concentrated, there will be a series of consequences, such as: easy to distract, lack of focus on learning tasks, low efficiency in lectures, decline in grades, carelessness, and procrastination in homework. Eve...

AI Technical Summary

Problems solved by technology

Therefore, the analysis of attention based on single-channel EEG only reflects the activity of a single brain region, and cannot reflect the networked activities of multiple brain regions.

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