  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.
