Children's attention assessment system and method

Abstract

The invention discloses a child attention evaluation system and a method thereof. The invention collects children's forehead EEG and obtains original attention data, processes and analyzes it, establishes an EEG-based attention evaluation model, and obtains various objective indexes of attention. The attention evaluation model proposed by the present invention divides the attention state into six types: relaxation state, attention shift state, task state, concentration state, mind-wandering state, and attention loss state; and calculates several indicators of attention: the average state of relaxation Attention, concentration state average attention, highest attention, attention intensity, attention persistence, attention stability, attention state transfer efficiency. The invention will effectively help parents understand the state of attention of the child, improve the level of attention of the child, and promote the improvement of the child's academic performance.

Description

technical field [0001] The present invention broadly relates to a child attention assessment system and method thereof. Background technique [0002] Attention is the foundation of all learning abilities and the most critical factor affecting the improvement of children's academic performance; attention is the most important intellectual factor, and it is the state of readiness for memory, imagination, thinking, and observation; it is the brain for perception, learning , thinking and other cognitive activities of the basic conditions. If a child's attention is not focused, there will be a series of consequences, such as: low efficiency in lectures, decline in grades, carelessness, and procrastination in homework. In the long run, they will become more and more lacking in self-confidence, easy to rely on others, and even prone to extreme tempers such as irritability . [0003] Attention is of great significance to people's cognitive activities, especially to children's cogn...

AI Technical Summary

Problems solved by technology

However, the 16-lead EEG acquisition equipment used in this method is inconvenient to use; and the method of using event-related potentials will make users feel uncomfortable during the measurement process, and the generalization is not very good

[0010] There are many more accurate attention detection methods based on EEG, but there is no evaluation index and model based on EEG attention detection to objectively evaluate the level of attention

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