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

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

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 regress...

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Veröffentlicht in:Applied Mechanics and Materials 2014-01, Vol.490-491 (Mechanical Design and Power Engineering), p.1456-1461
Hauptverfasser: Jia, Dong Yao, Hu, Po
Format: Artikel
Sprache:eng
Schlagworte:
Accuracy
Appraisals
Comfort
Indicators
Mathematical models
On-line systems
Online
Riding
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Beschreibung
Zusammenfassung: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%.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.490-491.1456