I found an interesting repository focusing on finding a way to detect pulse rate from head motions in video. The idea is to extract heart rate and beat lengths from videos by measuring subtle head motion caused by the Newtonian reaction to the influx of blood at each beat. The method tracks features on the head and performs principal component analysis (PCA) to decompose their trajectories into a set of component motions. It then chooses the component that best corresponds to heartbeats based on its temporal frequency spectrum. Finally, it analyze the motion projected to this component and identify peaks of the trajectories, which should correspond to heartbeats.
This might be a cool project to integrate to the toolbox in the future!
I found an interesting repository focusing on finding a way to detect pulse rate from head motions in video. The idea is to extract heart rate and beat lengths from videos by measuring subtle head motion caused by the Newtonian reaction to the influx of blood at each beat. The method tracks features on the head and performs principal component analysis (PCA) to decompose their trajectories into a set of component motions. It then chooses the component that best corresponds to heartbeats based on its temporal frequency spectrum. Finally, it analyze the motion projected to this component and identify peaks of the trajectories, which should correspond to heartbeats.
This might be a cool project to integrate to the toolbox in the future!
Repository: https://github.com/irfan798/head-pulse-track