关键词: 面部动作, 脑电, 肌电, 模式识别, 支持向量机

Abstract:

This paper reports a face gesture recognition method based on EEG sensor, which has advantages of good sense of experience and high accuracy compared with traditional methods based on visible light, depth camera and EMG. By analyzing the interference signals characteristics of facial movements on EEG sensors, the system design is given, and a real-time pattern recognition and classification algorithm based on support vector machine is described. Finally, experimental results prove that high face gesture recognition rate can be obtained under the condition of few samples by use of the proposed method.

Key words: face gesture, Electroencephalogram（EEG）, Electromyogram（EMG）, pattern recognition, Support Vector Machine（SVM）