Gesture recognition is topical in computer science and aims at interpreting\nhuman gestures via mathematical algorithms. Among the numerous applications\nare physical rehabilitation and imitation games. In this work, we suggest\nperforming human gesture recognition within the context of a serious imitation\ngame, which would aim at improving social interactions with teenagers\nwith autism spectrum disorders. We use an artificial intelligence algorithm to\ndetect the skeleton of the participant, then model the human pose space and\ndescribe an imitation learning method using a Gaussian Mixture Model in the\nRiemannian manifold.
Loading....