Surface Electromyography-Based Facial Expression Recognition in Bi-Polar Configuration | Science Publications

Journal of Computer Science

Mahyar Hamedi¹  Tan T. Swee¹  Sh-Hussain Salleh¹  Kamarulafizam¹ 

关键词: Facial gesture recognition;    Fuzzy C-Means (FCM);    Support Vector Machine (SVM);    signal classification;    bi-polar configuration;    facial expression;    frequency bandwidth;    Root Mean Square (RMS);   

DOI  :  10.3844/jcssp.2011.1407.1415

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: Facial expression recognition has been improved recently and it hasbecome a significant issue in diagnostic and medical fields, particularly in the areas of assistivetechnology and rehabilitation. Apart from their usefulness, there are some problems in theirapplications like peripheral conditions, lightening, contrast and quality of video and images.Approach: Facial Action Coding System (FACS) and some other methods based on images or videoswere applied. This study proposed two methods for recognizing 8 different facial expressions such asnatural (rest), happiness in three conditions, anger, rage, gesturing

【 授权许可】

Unknown