Factor analysis for EEG response to ride quality

Yohei Tomita; Hironobu Fukai; Yasue Mitsukura

Factor analysis for EEG response to ride quality

Yohei Tomita, Hironobu Fukai, Yasue Mitsukura

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we propose the electroencephalography (EEG) feature extraction method for 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 language	English
Pages (from-to)	593-600
Number of pages	8
Journal	Information (Japan)
Volume	14
Issue number	2
Publication status	Published - 2011 Feb 1
Externally published	Yes

Keywords

Electroencephalogram
Factor analysis
Ride quality

ASJC Scopus subject areas

Information Systems

Cite this

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title = "Factor analysis for EEG response to ride quality",

abstract = "In this paper, we propose the electroencephalography (EEG) feature extraction method for 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 = "Electroencephalogram, Factor analysis, Ride quality",

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T1 - Factor analysis for EEG response to ride quality

AU - Tomita, Yohei

AU - Fukai, Hironobu

AU - Mitsukura, Yasue

PY - 2011/2/1

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N2 - In this paper, we propose the electroencephalography (EEG) feature extraction method for 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 for 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.

KW - Electroencephalogram

KW - Factor analysis

KW - Ride quality

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M3 - Article

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JO - Information (Japan)

JF - Information (Japan)

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ER -

Factor analysis for EEG response to ride quality

Abstract

Keywords

ASJC Scopus subject areas

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