Sensors, Volume 20, Issue 4
2020 February-2 - 289 articles
Cover Story: Driver drowsiness is a major cause of traffic accidents. Automated driving might counteract this problem, but in the lower levels of automation, the driver is still responsible as a fallback. Therefore, reliable drowsiness detection systems are required. Techniques that use physiological signals seem to be especially promising. However, in a dynamic driving environment, only non- or minimally intrusive methods are accepted, and vibrations could lead to reduced sensor performance. In our work, encouraged by the progress in the development of wrist-worn wearables, their suitability in an automotive environment was investigated. We propose a drowsiness detection system with a machine learning approach applied solely to physiological data from a wrist-worn wearable sensor. The use of wrist-worn wearables inside a vehicle would enable the recording of physiological signals in a way that is familiar to the driver.View this paper. - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.