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국내 논문지

홈 홈 > 연구문헌 > 국내 논문지 > 전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

Current Result Document : 13 / 23 이전건 이전건   다음건 다음건

한글제목(Korean Title) 뇌파의 감성 분류기로서 다층 퍼셉트론의 활용에 관한 연구
영문제목(English Title) A Study on Application of the Multi-layor Perceptron to the Human Sensibility Classifier with Eletroencephalogram
저자(Author) 김동준   Dong Jun Kim  
원문수록처(Citation) VOL 67 NO. 11 PP. 1506 ~ 1511 (2018. 11)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
This study presents a human sensibility evaluation method using neural network and multiple-template method on electroencephalogram(EEG). We used a multi-layer perceptron type neural network as the sensibility classifier using EEG signal. For our research objective, 10-channel EEG signals are collected from the healthy subjects. After the necessary preprocessing is performed on the acquired signals, the various EEG parameters are estimated and their discriminating performance is evaluated in terms of pattern classification capability. In our study, Linear Prediction(LP) coefficients are utilized as the feature parameters extracting the characteristics of EEG signal, and a multi-layer neural network is used for indicating the degree of human sensibility. Also, the estimation for human comfortableness is performed by varying temperature and humidity environment factors and our results showed that the proposed scheme achieved good performances for evaluation of human sensibility.
키워드(Keyword) Human sensibility classifier   Neural network   Multiple-template method   Linear prediction   EEG signal  
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