TY - GEN
T1 - Riding condition extraction system by the EEG analysis
AU - Tomita, Yohei
AU - Fukai, Hironobu
AU - Mitsukura, Yasue
PY - 2010/12/13
Y1 - 2010/12/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649879264&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649879264&partnerID=8YFLogxK
U2 - 10.1109/ROMAN.2010.5598637
DO - 10.1109/ROMAN.2010.5598637
M3 - Conference contribution
AN - SCOPUS:78649879264
SN - 9781424479917
T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
SP - 282
EP - 285
BT - 19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010
T2 - 19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010
Y2 - 12 September 2010 through 15 September 2010
ER -