Fatigue Detection

TL;DR

This paper proposes a fatigue detection system based on pose estimation of upper body joints, aiming to identify driver fatigue by analyzing deviations from ideal postures.

Contribution

It introduces a novel approach to fatigue detection using pose estimation of body joints, moving beyond eye-tracking methods.

Findings

Preliminary framework for posture-based fatigue detection.

Potential for real-time implementation with pose estimation.

Focus on upper body joint analysis for fatigue signs.

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.