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
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;
Conference_Titel :
RO-MAN, 2010 IEEE
Conference_Location :
Viareggio
Print_ISBN :
978-1-4244-7991-7
DOI :
10.1109/ROMAN.2010.5598637