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Paper Information

Journal:   IRANIAN JOURNAL OF PSYCHIATRY AND CLINICAL PSYCHOLOGY   FALL 2010 , Volume 16 , Number 3 (62); Page(s) 280 To 280.
 
Paper: 

AFFECTIVE COMPUTATION ON EEG CORRELATES OF EMOTION FROM MUSICAL STIMULUS

 
 
Author(s):  BANIASAD M.H.*, KHOSROABADI R., KENG A.K., ABDUL RAHMAN A.W.B.
 
* 
 
Abstract: 

Affective interface that acquires and detects the emotion of the user can potentially enhance the human-computer interface experience. In this paper,a brain-computer affective interface (BCAI) is proposed to perform affective computation of electroencephalogram (EEG) correlates of emotion from musical stimulus. The proposed BCAI is designed by extracting emotion-specific EEG features from subjects while exposed to emotionally-related musical stimuli using kernel smoothing density estimation (KSDE) and Gaussian mixture model probability estimation (GMM). A classification algorithm is subsequently used to learn and classify the extracted EEG features. An inter-subject validation study is performed on healthy subjects to assess the performance of BCAI using a selection of classification algorithms. The results show that BCAI using the Bayesian network and One R classifier yield the highest inter-subject validation accuracy.

 
Keyword(s): EEG, EMOTION, AFFECTIVE COMPUTATION
 
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