[3N1-IS-2d] Machine learning (4/5)

[3N1-IS-2d-01] Yawning Detection under mask for Driver Monitor

〇Tomoya Matsubara¹, Ahmed Moustafa¹ (1. Nagoya Institute of Technology)

Keywords:Machine Learining, AI, Action Recognition

This paper proposes an approach for detecting yawning under mask. The ultimate goal is to quantify drowsiness and fatigue on the driver monitor even under a mask. It will be possible by analyzing the wrinkles on the mask when the driver yawns. You Only Look Once (YOLO) is used as the detection method. If the certainty of YOLO's prediction is low, use BruteForceMatcher to improve the overall accuracy. To evaluate the proposed approach, a test is performed using actual yawning footage. As an experimental result, I hope that the accuracy will be improved when the proposed method is used than when only YOLO is used.