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Remote Heart Rate Estimation for Driver Drowsiness Detection

Title
Remote Heart Rate Estimation for Driver Drowsiness Detection
Author(s)
Kim, HyundukLee, Sang-HeonSohn, Myoung-Kyu
Issued Date
2021-03
Citation
Journal of Industrial Information Technology and Application, v.5, no.1, pp.397 - 400
Type
Article
Author Keywords
remote heart rateremote photoplethysmographyskin-based attention modulespatio-temporal convolution networkdriver drowsiness detection
ISSN
2586-0852
Abstract
Remote heart rate (rHR) estimation, which aims to measure heart activities without any physical contact with the subject, is performed using remote photoplethys- mography (rPPG) and has great potential in many applications. In this paper, we introduce a remote heart rate estimation algorithm to detect driver drowsiness. The proposed method consists of two parts: an rPPGNet for PPG signal prediction from input video frames and an rHRNet for heart rate estimation from predicted PPG signal. Moreover, we apply a skin-based attention module and partition constraint to estimate more accurate rHR. To evaluate the performance of the proposed network, we train and test the proposed network on three public datasets.
URI
http://hdl.handle.net/20.500.11750/16115
Publisher
Journal of Industrial Information Technology and Application
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Appears in Collections:
Division of Automotive Technology 1. Journal Articles

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