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Fatigue Detection
November 24, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Ashish Verma, Ankush Goyal, Davinderjit Kaur
arXiv ID
1911.10629
Category
cs.HC: Human-Computer Interaction
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Nowadays, there are many fatigue detection methods and the majority of them are tracking eye in real-time using one or two cameras to detect the physical responses in eyes. It is indicated that the responses in eyes have high relativity with driver fatigue. As part of this project, We will propose a fatigue detection system based on pose estimation. Using pose estimation, We plan to mark the body joints in the upper body for shoulders and neck. Then, we plan to compare the location of the joints of the current posture with the ideal posture.
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