Driver’s Drowsiness Classifier using a Single-Camera Robust to Mask-wearing Situations using an Eyelid, Lower-Face Contour, and Chest Movement Feature Vector GRU-based Model-Reference-Cited by-同舟云学术

Driver’s Drowsiness Classifier using a Single-Camera Robust to Mask-wearing Situations using an Eyelid, Lower-Face Contour, and Chest Movement Feature Vector GRU-based Model

Published:2022-06-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Lollett Catherine¹,Kamezaki Mitsuhiro²,Sugano Shigeki³

Affiliation:

1. Waseda University,Graduate School of Creative Science and Engineering,Department of Modern Mechanical Engineering,17 Kikui-cho, Shinjuku-ku, Tokyo,Japan,162-0044

2. Research Institute for Science and Engineering (RISE), Waseda University,17 Kikui-cho, Shinjuku-ku, Tokyo,Japan,162-0044

3. Waseda University,Department of Modern Mechanical Engineering,3-4-1 Okubo, Shinjuku-ku, Tokyo,Japan,169-8555

Funder

Interface

Waseda University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827229.pdf?arnumber=9827229

Reference34 articles.

1. YawDD

2. SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map

3. Pose Flow: Efficient online pose tracking;xiu;arXiv preprint arXiv 1802 00420,2018

4. Realtime and Accurate 3D Eye Gaze Capture with DCNN-Based Iris and Pupil Segmentation

5. Their diaphragm when yawning or hiccupping. The sensations when engaging. Applied Cognitive Behavioral Therapy in Schools;script,2021

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