基于脑电图和肌电图的HCI和BCI新兴场景面部表情识别方法

D. Jain, A. Rajawat, H. Chouhan, V. P. Pawar
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摘要

本文通过对用户情绪状态的识别和响应来提高人机交互。表情识别是人机交互系统中的一项重要任务。在这项研究工作中,我们提出了脑机交互技术的人脸表情识别EEG(脑电图)和EMG(肌电)。通过放置在头皮和脸上的电极,通过测量大脑和面部在六种表情(喜悦、悲伤、恐惧、愤怒、厌恶、惊讶)时的活动来提取表情。
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A recognition approach of face expression in emerging scenario of HCI & BCI using electroencephalogram and electromyogram
This paper improves the human-computer interaction through recognize and respond properly to their user's emotional state. Expression recognition (ER) is the most important task in human-computer-interaction system. In this research work we present the recognition of face expression using brain-computer-interaction techniques EEG(electroencephalogram) and EMG (electromyography). The expression are extracted by measuring the activity of brain & face during six expressions(joy, sad, fear, anger, disgust, surprise) of through electrodes that is placed on the scalp and face.
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