Abstract
’HOMESWEET’ is a deep learning model created with the YOLO object detection algorithm that has been trained to detect certain human physical states that could result in road accidents and deaths. The model achieved an accuracy score of 83% and a Precision rate of over 90% but had a fairly modest Recall rate of just over 70%.
The model can be deployed in various other applications as it was able to detect not only facial cues but other micro-expressions and gesticulations that lead to the various states; in particular, in this research, it was created to detect fatigue, drowsiness and lack of total concentration while driving.