2019/11/24 by Ashish Verma, Verma, Ashish, Ankush Goyal +3
Computer Science · Engineering · #Advanced Sensor Technologies Research #FOS: Computer and information sciences #Fault Detection and Control Systems #Human-Computer Interaction (cs.HC) #Sensor Technology and Measurement Systems
paper · pdf · doi:10.48550/arxiv.1911.10629
openalex publication_date 2019/11/24 · openalex created_date 2024/04/11 · openalex updated_date 2026/07/28
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.