Authors: Chun-Shu Wei
Drowsiness is a cognitive factor that affects human behavior such as response time. However, quantifying drowsiness in a subject measurement has been an unsolved challenge. In this study, I proposed a probabilistic definition for drowsiness and developed a drowsiness index based on the response time in a sustained attentional task. Results show that, with normalization and temporal smoothing, the drowsiness index is able to track the variation of drowsiness.
Comments: 7 Pages.
[v1] 2017-08-28 21:51:53
Unique-IP document downloads: 18 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.