Kinect image processing by CNN algorithm for gait recognition

The CNN algorithm in this paper is a link between data collection with the Microsoft Kinect and gait recognition by machine learning. It extracts body points and angles from grayscale depth images with anthropometric information, bypassing the need for the Kinect's built-in mock skeleton. The trajectories of these points and angles are suitable inputs for identifying people according to their gaits.