Title :
An efficient multi modal emotion recognition system: ISAMC
Author :
Arora, Samarth ; Chandel, Siddhartha S. ; Chandra, Swarup
Author_Institution :
Dept. of Instrum. & Control, Netaji Subhas Inst. of Technol., New Delhi, India
Abstract :
This paper presents a fusion approach called Image and Signal Analysis of Multimedia Content (ISAMC) to provide a fully evolved model for emotion recognition using both external (face) and internal (EEG signals) characteristics for the same emotional phenomenon. Both image analysis and EEG signal analysis is done using a video stimulus and based on wavelet approach for feature extraction. This novel methodology provides cross-validation of EEG and Image results with self-assessment of the participants and encourages multi-classification with the use of two different classifiers. The encouraging experimental results prove that the efficiency of this method is very high and due to its simplicity it can be a promising tool for emotion recognition.
Keywords :
electroencephalography; emotion recognition; face recognition; feature extraction; image classification; wavelet transforms; EEG signal analysis; EEG signal recognition; ISAMC system; electroencephalography; face recognition; feature extraction; image analysis; image and signal analysis of multimedia content; multiclassification; multimodal emotion recognition system; video stimulus; wavelet approach; Accuracy; Electroencephalography; Emotion recognition; Face; Feature extraction; Multiresolution analysis; Support vector machines; anova; emotion recognition; emotiv; svm; wavelet transform;
Conference_Titel :
IMpact of E-Technology on US (IMPETUS), 2014 International Conference on the
Conference_Location :
Bangalore
DOI :
10.1109/IMPETUS.2014.6775870