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公开(公告)号：US10916158B2
公开(公告)日：2021-02-09
申请号：US16697205
申请日：2019-11-27
Applicant: CENTRAL CHINA NORMAL UNIVERSITY
Inventor： Zongkai Yang , Jingying Chen , Sannvya Liu , Ruyi Xu , Kun Zhang , Leyuan Liu , Shixin Peng , Zhicheng Dai
Abstract: The invention provides a classroom cognitive load detection system belonging to the field of education informationization, which includes the following. A task completion feature collecting module records an answer response time and a correct answer rate of a student when completing a task. A cognitive load self-assessment collecting module quantifies and analyzes a mental effort and a task subjective difficulty by a rating scale. An expression and attention feature collecting module collects a student classroom performance video to obtain a face region through a face detection and counting a smiley face duration and a watching duration of the student according to a video analysis result. A feature fusion module fuses aforesaid six indexes into a characteristic vector. A cognitive load determining module inputs the characteristic vector to a classifier to identify a classroom cognitive load level of the student.
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