Automatic facial spirit classification for traditional Chinese medicine based on mutiple facial features

This paper presents a new automatically quantitative facial features classification system for TCM spirit diagnosis based on facial features. Facial diagnosis is an important diagnostic method in TCM (Traditional Chinese Medicine) and has been used for a long time. However, this traditional diagnostic method is mainly based on observation by TCM doctors and their personal experience. To develop quantification methods for TCM is very important. First, we capture facial features from video images through some algorithms, and then we use some classification models to analyze them. Finally, IG (Information Gain) is used to analyse which kind of features has good performance. Experiment results show that our system has high classification accuracy.

[1]  Chee Seng Chan,et al.  A Fusion Approach for Efficient Human Skin Detection , 2012, IEEE Transactions on Industrial Informatics.

[2]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[3]  Huang Zhi-yan,et al.  BASED ON THE INFORMATION GAIN TEXT FEATURE SELECTION METHOD , 2013 .

[4]  Guanming Lu,et al.  A Novel Computerized System for Tongue Diagnosis , 2008, 2008 International Seminar on Future Information Technology and Management Engineering.

[5]  Chuang-Chien Chiu,et al.  A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue , 2000, Comput. Methods Programs Biomed..

[6]  Yang Cai,et al.  A novel imaging system for tongue inspection , 2002, IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276).

[7]  Liu Rui-an.  Blink detection and eye tracking , 2006 .

[8]  Guo-Zheng Li,et al.  Computerized tongue image segmentation via the double geo-vector flow , 2014, Chinese Medicine.

[9]  Guo-Zheng Li,et al.  Gloss Feature Extraction for Surface Examination in Traditional Chinese Medicine , 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).

[10]  Anil K. Jain,et al.  Face Detection in Color Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  D. Zhang,et al.  Computer Aided Tongue Diagnosis System , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.