Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network

Cheng Bo; LIU Guang-Yuan

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Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network

Cheng Bo 1,LIU Guang-Yuan 2 *

1.School of Computer and Information Science，Southwest University

*Correspondence author

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Funding: 重庆自然科学基金（No.2006BB2028）

Opened online:14 June 2007

Accepted by: none

Citation: Cheng Bo,LIU Guang-Yuan.Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network[OL]. [14 June 2007] http://en.paper.edu.cn/en_releasepaper/content/13473

Emotion recognition is a pivotal question of affective computing. This paper adopts the wavelet transform to analyse the surface EMG signal instability feature. Surface EMG signal is decomposed by discrete wavelet transform (DWT) and selected maximum and minimum of the wavelet coefficients in every level. The extracted maximum and minimum of the wavelet coefficients is inputted to identify emotion by the BP neural network improved by Levenberg-Marquardt algorithm. Experimental result shows that identification purpose of four emotional signals (joy, anger, sadness and pleasure) is effective and have are a great potential in practical application of emotion recognition.

Keywords:Affective Computing

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