DocumentCode :
504256
Title :
The extraction of riding condition system using the EEG
Author :
Mitsukura, Yasue ; Fukai, Hironobu ; Suzuki, Satoru ; Tomita, Yohei ; Watai, Hirokazu ; Tashiro, Katsumi ; Murakami, Kazutomo
Author_Institution :
Tokyo Univ. of Agric. & Technol., Koganei, Japan
fYear :
2009
fDate :
18-21 Aug. 2009
Firstpage :
4442
Lastpage :
4445
Abstract :
In this paper, we propose an extraction method of ride comfort according to the difference of the tire by electroencephalogram (EEG). Recently, the sensory evaluation is used for development of the product. However, the sensory evaluation by a general user who doesn´t have a clear standard is unstable. Moreover, ride comfort depends on the sensibility and the preference of the individual. It is considered that these psychological changes influence the brain that rules center of sensation. Therefore, we pay attention to the EEG. We use the EEG that it is possible to measure it simply in the brain function measurement technique as an objective evaluation. In this study, the feature of the EEG during the driving is extracted by the factor analysis (FA). Moreover, we investigate the correlation of the subjective evaluation and the EEG features. From the result, the EEG features and subjective evaluation features has correlation. Thus, the effectiveness of the proposed method as an objective evaluation method was shown.
Keywords :
brain; electroencephalography; feature extraction; neurophysiology; psychology; EEG; brain function measurement technique; electroencephalogram; factor analysis; feature extraction; psychological changes; riding condition system; sensation; sensory evaluation; subjective evaluation correlation; tire; Agriculture; Bandwidth; Brain modeling; Electrodes; Electroencephalography; Frequency estimation; Measurement techniques; Psychology; Roads; Tires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
Type :
conf
Filename :
5332985
Link To Document :
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