題名: | DIAGNOSING THE LEARNING DIFFICULTY WITH FACIAL EXPRESSION RECOGNITION |
作者: | Chuang, Chien-Pen Li, Chi-Ming |
關鍵字: | facial expression recognition feature extraction learning difficulty concentration |
期刊名/會議名稱: | 2008 ICS會議 |
摘要: | Face recognition is extensively applied in this monitoring system and the identity system. In this study, image pre-processing, face detection, and facial expression identification techniques are combined to diagnose learners’ learning difficulty. Face image noise from a WebCam is dealt with integrative type of filter. Then, the feature at the edge is extracted through Sobel operator. After edge enhancement, the eye/mouth images are extracted by skin detection. Three criteria for diagnosing learning difficulty are selected as vectors of Approach-Withdrawal, Concentration, and Happiness to identify difficulty levels. Experimental results show that the correct rate of difficulty recognition reaches 92%. The proposed facial expression recognition system can be used to diagnose students’ learning difficulty in an adaptive e-learning system. |
日期: | 2009-01-03T09:40:29Z |
分類: | 2008年 ICS 國際計算機會議 |
文件中的檔案:
檔案 | 描述 | 大小 | 格式 | |
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ce07ics002008000008.pdf | 398.83 kB | Adobe PDF | 檢視/開啟 |
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