This week, I worked on the OpenCV facial landmark detection for the stand height automation. I wrote a Python program to determine the distance between any 2 specified landmarks and tried a bunch of different face angles to see the which landmarks would be good references to use. I found that the distance between the eyebrows and the tip of the nose would be one good set of landmarks to determine head tilt use because it had significant and consistent change in distance when a user is looking up, straight on, or down.
I also worked on the Design slides and practiced for the presentation this week.
By next week, I’d like to have the acceptable thresholds of distances between landmarks determined that will signify that the ideal height has been reached and write a function to decide this.