An investigation on visual and audiovisual stimulus based emotion recognition using EEG
by M. Murugappan, Mohd Rizon Bin Mohammed Juhari, Ramachandran Nagarajan, Sazali Yaacob
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 1, No. 3, 2009

Abstract: In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed to acquire the EEG signals over five healthy subjects using 63 biosensors. We propose the analysis of EEG signals using discrete wavelet transform and classification using neural network. EEG signals were decomposed into five frequency sub-bands using 'db4' wavelet function and two statistical features were extracted from the alpha band. These statistical features were used as input to the neural network for classifying five emotions (disgust, happy, surprise, sad and anger). In the experiments of recognising human emotions from visual and audiovisual stimulus, the average recognition rate of 56.66% and 66.67% is obtained. The experimental result shows that the audiovisual stimulus based emotion recognition gives better classification accuracy over visual stimulus.

Online publication date: Thu, 22-Jan-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email