Study on Fear Emotion Recognition Based on Traditional Chinese Medicine and Body Sensor Network

The acquisition and application of people's various physiological and psychological states will play a very important role in future smart society. In this paper, body sensor network is used to perceive human physiological parameters, especially human skin resistance in and out of adjacent fingers and the pulse information in ulnar-sided position on the right hand. Then the feature combination which contributes to the emotion recognition is obtained through wavelet analysis and the fear emotion is recognized by uncertainty data fusion algorithm of D-S Evidence Theory. The prototype experiments have proved that this method has a good recognition effect. The perspective of vibration sense of human pulse based on Traditional Chinese Medicine and computer technology is achieved in this study. It perceives psychological states of the human objectively and directly, which will provide a prototype model to obtain the human physiological and psychological indexes objectively, as well as an example to monitor real-time physiological and psychological states of human body.

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