TITLE:
Human Skeleton Detection, Modeling and Gesture Imitation Learning for a Social Purpose
AUTHORS:
Linda Nanan Vallée, Sao Mai Nguyen, Christophe Lohr, Ioannis Kanellos, Olivier Asseu
KEYWORDS:
Imitation Learning, Artificial Intelligence, Gesture Recognition, Autism Spectrum Disorders (ASD), Gaussian Mixture Model (GMM)
JOURNAL NAME:
Engineering,
Vol.12 No.2,
February
27,
2020
ABSTRACT: Gesture recognition is topical in computer science and aims at interpreting human gestures via mathematical algorithms. Among the numerous applications are physical rehabilitation and imitation games. In this work, we suggest performing human gesture recognition within the context of a serious imitation game, which would aim at improving social interactions with teenagers with autism spectrum disorders. We use an artificial intelligence algorithm to detect the skeleton of the participant, then model the human pose space and describe an imitation learning method using a Gaussian Mixture Model in the Riemannian manifold.