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Communication Dans Un Congrès Année : 2017

Posture recognition analysis during human-robot imitation learning

Résumé

In this paper, we designed an analysis framework built upon the models and results on social signature detection. In particular, these previous works need further analysis. First, the impact of interaction time on imitation learning has not been explicitly investigated and here we report results on this issue. Secondly, the nature of posture may impact the learning and recognition rates. In this paper, we evaluate the posture recognition system performance by analyzing the recognition of the different postures
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Dates et versions

hal-01691767 , version 1 (25-01-2018)

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Citer

Hakim Guedjou, Sofiane Boucenna, Mohamed Chetouani. Posture recognition analysis during human-robot imitation learning. 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Sep 2016, Cergy-Pontoise, France. ⟨10.1109/DEVLRN.2016.7846817⟩. ⟨hal-01691767⟩
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