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 publicationProceedings - IEEE International Workshop on Robot and Human Interactive Communication
Pages282-285
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 - Viareggio, Italy
Duration: 2010 Sep 122010 Sep 15

Other

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

Fingerprint

Electroencephalography
Factor analysis
Tires
Feature extraction

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Cite this

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

Riding condition extraction system by the EEG analysis. / Tomita, Yohei; Fukai, Hironobu; Mitsukura, Yasue.

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2010. p. 282-285 5598637.

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

Tomita, Y, Fukai, H & Mitsukura, Y 2010, Riding condition extraction system by the EEG analysis. in Proceedings - IEEE International Workshop on Robot and Human Interactive Communication., 5598637, pp. 282-285, 19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010, Viareggio, Italy, 10/9/12. https://doi.org/10.1109/ROMAN.2010.5598637
Tomita Y, Fukai H, Mitsukura Y. Riding condition extraction system by the EEG analysis. In Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2010. p. 282-285. 5598637 https://doi.org/10.1109/ROMAN.2010.5598637
Tomita, Yohei ; Fukai, Hironobu ; Mitsukura, Yasue. / Riding condition extraction system by the EEG analysis. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2010. pp. 282-285
@inproceedings{f397205d3b054c66aacc2f0de23e3df7,
title = "Riding condition extraction system by the EEG analysis",
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.",
author = "Yohei Tomita and Hironobu Fukai and Yasue Mitsukura",
year = "2010",
doi = "10.1109/ROMAN.2010.5598637",
language = "English",
isbn = "9781424479917",
pages = "282--285",
booktitle = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",

}

TY - GEN

T1 - Riding condition extraction system by the EEG analysis

AU - Tomita, Yohei

AU - Fukai, Hironobu

AU - Mitsukura, Yasue

PY - 2010

Y1 - 2010

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

SN - 9781424479917

SP - 282

EP - 285

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

ER -