Author:
Wu Bin,Wang Chunmei,Huang Wei,Huang Da,Peng Hang
Abstract
Classroom teaching, as the basic form of teaching, provides students with an important channel to acquire information and skills. The academic performance of students can be evaluated and predicted objectively based on the data on their classroom behaviors. Considering the complexity of classroom environment, this paper firstly envisages a moving target detection algorithm for student behavior recognition in class. Based on region of interest (ROI) and face tracking, the authors proposed two algorithms to recognize the standing behavior of students in class. Moreover, a recognition algorithm was developed for hand raising in class based on skin color detection. Through experiments, the proposed algorithms were proved as effective in recognition of student classroom behaviors.
Publisher
International Information and Engineering Technology Association
Subject
Electrical and Electronic Engineering
Cited by
19 articles.
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