AI-Enabled High-Level Layer for Posture Recognition Using The Azure Kinect in Unity3D
Alaoui Hamza, Mohamed Tarik Moutacalli, Mehdi Adda · 2020
Posture recognition is one of the challenging tasks in computer vision. It lays on top of the pose estimation of the different body joints, and can be used in many applications. In the medical field, it can serve to assist patients in rehabilitation. In games it can be an elegant form of computer human interaction. Different Artificial Intelligence techniques were used over the years to precisely output the joint positions of the body from a single or stream of images. One of the great solutions that tacked well the pose estimation challenge is the Kinect camera, however further process is required to create and detect body postures. This article presents a customizable high-level layer that allows its users to easily create and manage body postures in unity3d projects allowing them to focus more on the other aspects of their project. The layer offers two detection methods, both scored more than 95% accuracy in each of the tested postures.