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A Study on the Human Sensibility Evaluation Technique Using EEGs of 4 Emotions  

Kim, Dong-Jun (淸州大學敎 理工大 情報通信工學部)
Kang, Dong-Kee (淸州大學敎 理工大 電子工學科)
Kim, Heung-Hwan (淸州大學敎 理工大 電子工學科)
Yi, Sang-Han (淸州大學敎 理工大 電子工學科)
Go, Han-Woo (한국표준과학연구원 인간정보 연구그룹)
Park, Se-Jin (한국표준과학연구원 인간정보 연구그룹)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.51, no.11, 2002 , pp. 528-534 More about this Journal
Abstract
This paper describes a technique for human sensibility evaluation using EEGs of 4 emotions. The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance suing the proposed method is about 72.6%. This may be promising performance in the human sensibility evaluation.
Keywords
human sensibility; EEG; linear predictor coefficients; neural network;
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