Riding condition extraction system by the EEG analysis

Yohei Tomita, Hironobu Fukai, Yasue Mitsukura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010
Pages282-285
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 13
Externally publishedYes
Event19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 - Viareggio, Italy
Duration: 2010 Sep 122010 Sep 15

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010
CountryItaly
CityViareggio
Period10/9/1210/9/15

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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  • Cite this

    Tomita, Y., Fukai, H., & Mitsukura, Y. (2010). Riding condition extraction system by the EEG analysis. In 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