Human Sensibility Evaluation Algorithm Based on the Personality-group Templates of EEGs

Author

Seung-Jin Woo ; Kim, Dong-Jun ; Lee, Jeong-Whan ; Kim, Kyeong-Seop

Author_Institution

Div. of Electron. & Inf. Eng., Cheongju Univ.

Volume

1

fYear

2007

fDate

12-14 Feb. 2007

Firstpage

116

Lastpage

118

Abstract

This paper describes an algorithm for human sensibility evaluation based on the personality-group templates of electroencephalogram (EEG). 10-channel EEG signals of ten adults are collected. After preprocessing, various EEG parameters are estimated and compared. The proposed algorithm uses linear prediction (LP) coefficients, neural network and pre-/post-processing techniques. Comfortableness evaluation results for different temperature and humidity showed good performance in human sensibility evaluation.

Keywords

electroencephalography; ergonomics; medical signal processing; neural nets; EEG; comfortableness evaluation; electroencephalogram; human sensibility evaluation algorithm; linear prediction coefficients; neural network; personality-group templates; post-processing techniques; Biomedical engineering; Brain modeling; Electroencephalography; Feature extraction; Frequency; Humans; Humidity; IIR filters; Neural networks; Temperature sensors; EEG signals; human sensibility evaluation; linear prediction; personality-group templates;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, The 9th International Conference on

Conference_Location

Gangwon-Do

ISSN

1738-9445

Print_ISBN

978-89-5519-131-8

Type

conf

DOI

10.1109/ICACT.2007.358318

Filename

4195097