Fuzzy Fusion for Affective State Assessment in Distance Learning Based on Image Detection

摘要：

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not handle the students learning situation, and they do not know whether the student is attentive, drowsy or absent. If teachers can know the students affective state, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students when they are learning and analyzes their face features to evaluate the students affective state by Fuzzy Integral. Finally, teachers can monitor the students behavior by the detection results on the system interface.

作者: Kuoan Hwang Chiahao Yang

作者单位: Department of Computer Science and Information Engineering & Graduate Institute of Networking and Co Graduate Institute of Informatics, Doctoral program, Chaoyang University of Technology

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 380-384

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）