Abstract:
Generally, Negative emotions can lead to health problems. In order to detect negative emotions, an advanced method of the EMG signal analysis is presented. Negative emoti...Show MoreMetadata
Abstract:
Generally, Negative emotions can lead to health problems. In order to detect negative emotions, an advanced method of the EMG signal analysis is presented. Negative emotions of interest in this work are: fear, disgust and sadness. These emotions are induced with presentation of IAPS (International Affective Picture System) images. The EMG signal is chosen to extract a set of characteristic parameters to be used for classification of emotions. The analysis of EMG signal is performed using the wavelet transform technique to extract characteristic parameters while the classification is performed using the SYM (Separator Vector Machine) technique. The results show a good recognition rates using these characteristic parameters.
Published in: 2014 International Conference on Control, Decision and Information Technologies (CoDIT)
Date of Conference: 03-05 November 2014
Date Added to IEEE Xplore: 29 December 2014
Electronic ISBN:978-1-4799-6773-5