Review on Drowsiness Detection

Apoorva, Apoorva and Vali, D and R, Rakesh (2020) Review on Drowsiness Detection. EAI Endorsed Transactions on Smart Cities, 20 (12): e7. ISSN 2518-3893

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Abstract

This paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disasters are caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs and medicines, and so on. Accidents caused due to doziness are more than drink driving. This paper traces many methods to detect drowsiness and alerts the driver. There are two approaches to detect drowsiness. First is physiologically based and another is behavioral-based. Also there are other approached used. Many technologies are used for detecting the weariness of the driver. It is a review paper of numerous advancements utilized by various scientists. In addition, human conduct can also be studied. Also, the discovery of drowsiness with eyes open is conceivable. In countenance detection technology, driver weariness recognition is one of the major possible businesses uses. Here how drivers can be alerted using different methods is discussed.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 09 Sep 2020 09:05
Last Modified: 09 Sep 2020 09:05
URI: https://eprints.eudl.eu/id/eprint/92

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