This week, after the team decided that it would be best to use dlib’s facial landmark model on all of our features to increase the fps and decrease the amount of false negatives (as a result of the low fps), I changed the model for eye tracking. After testing, the accuracy is comparable to the previous model (cnn-facial-landmark).
Progress is behind schedule. I was supposed to get done with migrating the features to Dlib by today but I only got eye tracking done. I plan on migrating the dlib model to the other features (mouth detection, head pose, and eyes closing detection) by tomorrow and start testing these features immediately after.
By next week, I hope to have testing done for all of the features, as well as the poster presentation and the demo video.