A topological approach for human movement classification and anticipation
Communication avec acte
Auteur
BENSEKKA, Chakib Arslane 
CHRISTOPHE, GUILLETPOZZO, Thierry MERIENNE, FrédéricRésumé
The motion capture systems are increasingly used for biomedical purposes. In order to recognize and classify the movements, however whole-body movements using passive markers, generate a huge amount of data. Can topological data analysis methods improve the recognition of movements? Can we use the results of this analysis combined with particular types of neural networks to anticipate the continuation of a movement?
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