Concentration degree evaluation method and device

Abstract

The embodiment of the invention provides a concentration degree evaluation method and device, relates to the technical field of biological signals, and the method and the device are used for detectingthe concentration degree of a user of the concentration degree evaluation device and improving the accuracy of concentration degree evaluation. The method comprises the steps that the concentration degree evaluation device acquires multi-modal information; wherein the multi-modal information comprises brain wave data of a user, head posture data of the user and eye data of the user of the concentration degree evaluation device; the concentration degree evaluation device obtains a concentration degree evaluation value according to the multi-modal information and a preset model; wherein the preset model is used for determining a concentration degree evaluation value according to the multi-modal information; wherein the concentration degree evaluation value is used for describing the attention concentration condition of the user. The method and the device are used for evaluating the concentration degree of the user of the concentration degree evaluation device.

Description

technical field [0001] The invention relates to the technical field of biological signals, in particular to a concentration evaluation method and device. Background technique [0002] Concentration is a common psychological characteristic of mental activities such as perception, memory, thinking, and imagination, and it is the direction and concentration of mental activities on a certain object. In learning, whether students concentrate or not is directly related to the quality of learning. At present, there are two methods of evaluating students' concentration: single-modal evaluation and multi-modal evaluation. Single-modal evaluation is for the information processing of a single sense, and multi-modal evaluation is for the comprehensive processing of multiple sensory information. [0003] Single-modal evaluation can be sensory information evaluation based on facial expression or head posture, and multi-modal evaluation can be comprehensive evaluation of multiple sensory ...

AI Technical Summary

Problems solved by technology

Although the accuracy of multimodal evaluation is higher than that of single modality evaluation, because the external senses such as facial expression, head posture and eye movement data are easily affected by factors such as skin color, illumination and occlusion, the use of facial expression, head When the external sensory information of posture and eye movement data is used as a comprehensive evaluation vector, the accuracy of concentration evaluation is still low, which is not enough to fully evaluate students' concentration

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