DocumentCode :
2527286
Title :
Riding condition extraction system by the EEG analysis
Author :
Tomita, Yohei ; Fukai, Hironobu ; Mitsukura, Yasue
Author_Institution :
Grad. Sch. of Bio-Applic. & Syst. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
fYear :
2010
fDate :
13-15 Sept. 2010
Firstpage :
282
Lastpage :
285
Abstract :
In this paper, we propose the electroencephalography (EEG) feature extraction method of the change in riding comfort according to the difference of the tire. It is a proposal of the objective evaluation technique. The feature of the EEG during the driving is extracted by the factor analysis. Moreover, the correlation between the subjective evaluation and the detected features of EEG is calculated. Then, the effectiveness of the proposed method as a objective evaluation technique was shown from the result.
Keywords :
electroencephalography; feature extraction; medical signal processing; statistical analysis; electroencephalography feature extraction; objective evaluation technique; riding condition extraction system; Correlation; Driver circuits; Electrodes; Electroencephalography; Feature extraction; Roads; Tires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
RO-MAN, 2010 IEEE
Conference_Location :
Viareggio
ISSN :
1944-9445
Print_ISBN :
978-1-4244-7991-7
Type :
conf
DOI :
10.1109/ROMAN.2010.5598637
Filename :
5598637
Link To Document :
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