An Online Evaluation Method for Ride Comfort Based on Multivariate Physiological Indicators

Dong Yao Jia; Po Hu

doi:10.4028/www.scientific.net/AMM.490-491.1456

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 490-491An Online Evaluation Method for Ride Comfort Based...

An Online Evaluation Method for Ride Comfort Based on Multivariate Physiological Indicators

Abstract:

Demand for objectivity, accuracy and online learning is becoming increasingly important to current evaluations for ride comfort. A data-based appraisal model of riding environmental comfort is proposed in this paper. Physiological indicators data is introduced into the improved supportvector regression(SVR), then, physiological indicators are used to learn online by correcting the parameters of the model. Excellent evaluation capacity is demonstrated through numerical examples, and rating accuracy is 95.6%.

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Periodical:

Applied Mechanics and Materials (Volumes 490-491)

Pages:

1456-1461

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.490-491.1456

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Online since:

January 2014

Authors:

Dong Yao Jia, Po Hu*

Keywords:

Genetic Algorithm (GA), Physiological, Physiological Indicators, Ride Comfort, SVR Model

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* - Corresponding Author

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