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Human Skeleton Detection, Modeling and Gesture Imitation Learning for a Social Purpose
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作者 Linda Nanan Vallée Sao Mai Nguyen +2 位作者 christophe lohr Ioannis Kanellos Olivier Asseu 《Engineering(科研)》 2020年第2期90-98,共9页
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... 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. 展开更多
关键词 IMITATION Learning Artificial Intelligence GESTURE Recognition AUTISM Spectrum DISORDERS (ASD) Gaussian Mixture Model (GMM)
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