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Multi-selectivity attention evaluation and training method and system

An attention and selective technology, applied in the field of motion vision, which can solve the problems of inability to evaluate and train different users' attention, and the inability to quantify the results.

Pending Publication Date: 2020-12-15
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing technology, the results of attention training cannot be quantified, and it is impossible to achieve precise, targeted, and scientific attention evaluation and training for different users.

Method used

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  • Multi-selectivity attention evaluation and training method and system

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Embodiment Construction

[0106] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0107] It should be noted that, in the description of the present invention, the terms "first" and "second" are only for the convenience of description, rather than indicating or implying the relative importance of the devices, elements or parameters, so they should not be understood as important to the present invention. Invention Limitations.

[0108] figure 1 It is a schematic diagram of the main steps of Embodiment 1 of the multi-selective attention evaluation method of the present invention. Figure 2(a)-Figure 2(c) is a schematic diagram of the target on the display screen in this embodiment. Such as figure 1 As shown, the evaluation ...

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Abstract

The invention relates to the field of motion vision, and particularly relates to a multi-selectivity attention evaluation and training method and system, and aims to solve the problems that a trainingresult cannot be quantified and precise training cannot be realized for different users. The evaluation method comprises the steps of displaying a plurality of target objects with different appearances on a display screen; recording an ID number of a selected target object in the plurality of target objects; shielding the appearance distinguishing features of the plurality of target objects to enable the appearances of the plurality of target objects to be the same; controlling the plurality of target objects to move on the screen according to the movement parameters, simultaneously acquiringan eye movement track and an electroencephalogram map when the testee observes the selected target object, and acquiring a judgment value of the testee for the position of the selected target objectat the end of movement; and generating an evaluation result according to the actual motion trail, the eye movement trail and the electroencephalogram map of the selected target object and the judgmentvalue of the testee for the position of the selected target object at the movement end moment. According to the invention, targeted attention training and improvement of the user are realized.

Description

technical field [0001] The invention relates to the field of sports vision, in particular to a method and system for multi-selective attention evaluation and training. Background technique [0002] Attention refers to the ability of people's mental activities to point and focus on something. The degree of concentration and concentration of attention will directly affect the efficiency of work and study. [0003] For students, especially primary and middle school students, how to assess and train them to maintain concentration will directly affect their rate of knowledge acquisition and understanding. At the same time, for professional athletes, how to maintain a stable mood and achieve concentration will also become one of the key factors affecting the final result. Therefore, how to effectively evaluate people's concentration and achieve scientific and effective training has become a problem worthy of attention and research. However, in the prior art, the result of attent...

Claims

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Application Information

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IPC IPC(8): G16H50/30
CPCG16H50/30
Inventor 刘代金刘丽王子洋高然刘禹张雪楠
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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