Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Short Notes
Driver Activity Recognition Using Wrist-Worn Acceleration Sensors
Shinichiro KAYASHIMATakuma AKIDUKIToshiya ARAKAWAHirotaka TAKAHASHI
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JOURNAL FREE ACCESS

2022 Volume 34 Issue 2 Pages 544-549

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Abstract

In this paper, we measure the driver’s hand movement by using the wrist-worn acceleration sensors, and the driver activity is estimated by using the combination of the sliding-window method and k-nearest neighbors method. In order to evaluate the accuracy of driver activity estimation, we performed the experiment by using the driving simulator, and the data of 10 participants were collected. We show both the activity that can be detected by the wrist-worn acceleration sensors and its estimation accuracy.

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© 2022 Japan Society for Fuzzy Theory and Intelligent Informatics
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