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2020 | OriginalPaper | Chapter

Recognition of Fatigue Driving Based on Steering Operation Using Wearable Smart Watch

Authors : Dihua Sun, Yong Huang, Min Zhao, Dong Chen, Weijian Han

Published in: Green, Smart and Connected Transportation Systems

Publisher: Springer Singapore

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Abstract

Given the growing popularity of wearable smart watch with the capability to detect human hand movements, this paper studies the potential to recognize fatigue driving based on steering operation by using a wearable smart watch. The sensor data used includes acceleration and angular velocity data related to drivers’ operation behavior. We analyze the sensors’ data features of smart watch under drivers’ fatigue and normal states, and select 13 principal characteristic parameters by using the method of principal component analysis (PCA). Then the recognition model of fatigue driving based on support vector machine (SVM) is established. The results show that the proposed method recognizes the drivers’ fatigue or normal state more effectively than other methods and its accuracy can reach 83.29%.

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Metadata
Title
Recognition of Fatigue Driving Based on Steering Operation Using Wearable Smart Watch
Authors
Dihua Sun
Yong Huang
Min Zhao
Dong Chen
Weijian Han
Copyright Year
2020
Publisher
Springer Singapore
Book
Green, Smart and Connected Transportation Systems

Print ISBN: 978-981-15-0643-7

Electronic ISBN: 978-981-15-0644-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0644-4_18

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