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Sensors, Volume 20, Issue 4 (February-2 2020) – 289 articles
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Cover Story (view full-size image) Driver drowsiness is a major cause of traffic accidents. Automated driving might counteract this [...] Read more. 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.