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Creative studios tend to produce an overwhelming amount of content everyday and being able to manage these data and reuse it in new productions represent a way for reducing costs and increasing productivity and profit. This work is part of a project aiming to develop reusable assets in creative productions. This paper describes our first attempt using deep learning to classify human motion from motion capture files. It relies on a long short-term memory network (LSTM) trained to recognizedoi:10.5220/0007349902360243 dblp:conf/grapp/SilvaOS19 fatcat:dg367kg7gzdhtbyldwp2ldhu3y