Content Provider	IEEE Xplore Digital Library
Author	Nakamura, Taro Maejima, Akinobu Morishima, Shigeo
Copyright Year	2014
Description	Author affiliation: Department of Applied Physics, Waseda University, Tokyo, Japan (Nakamura, Taro; Maejima, Akinobu; Morishima, Shigeo)
Abstract	We propose a method for estimating the degree of a driver's drowsiness on the basis of changes in facial expressions captured by an IR camera. Typically, drowsiness is accompanied by drooping eyelids. Therefore, most related studies have focused on tracking eyelid movement by monitoring facial feature points. However, the drowsiness feature emerges not only in eyelid movements but also in other facial expressions. To more precisely estimate drowsiness, we must select other effective features. In this study, we detected a new drowsiness feature by comparing a video image and CG model that are applied to the existing feature point information. In addition, we propose a more precise degree of drowsiness estimation method using wrinkle changes and calculating local edge intensity on faces, which expresses drowsiness more directly in the initial stage.
Starting Page	207
Ending Page	214
File Size	671029
Page Count	8
File Format	PDF
ISBN	9789897581335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-05
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	SCITEPRESS
Subject Keyword	K-NN CG for CV Estimation Investigating Drowsiness Feature Vehicles Face Texture Analysis Mouth Feature extraction Drowsiness Level Estimation Wrinkle Detection Face Edge Intensity Facial features Accidents
Content Type	Text
Resource Type	Article

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