Riding condition extraction system by the EEG analysis

Yohei Tomita, Hironobu Fukai, Yasue Mitsukura

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトル19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010
ページ282-285
ページ数4
DOI
出版物ステータスPublished - 2010 12 13
外部発表Yes
イベント19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 - Viareggio, Italy
継続期間: 2010 9 122010 9 15

出版物シリーズ

名前Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010
Italy
Viareggio
期間10/9/1210/9/15

    フィンガープリント

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

これを引用

Tomita, Y., Fukai, H., & Mitsukura, Y. (2010). Riding condition extraction system by the EEG analysis. : 19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010 (pp. 282-285). [5598637] (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2010.5598637