Title :
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.
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;
Conference_Titel :
Advanced Communication Technology, The 9th International Conference on
Conference_Location :
Gangwon-Do
Print_ISBN :
978-89-5519-131-8
DOI :
10.1109/ICACT.2007.358318
