2022 Volume 34 Issue 2 Pages 544-549
Crossref Funder ID: http://dx.doi.org/10.13039/501100001691Grant/Award number:
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.