Maurer, A.Hersch, M.Billard, A.2005-11-162005-11-162005-11-16200510.1007/11550822_77https://infoscience.epfl.ch/handle/20.500.14299/2200757397In this paper, we extend the Hopfield Associative Memory for storing multiple sequences of varying duration. We apply the model for learning, recognizing and encoding a set of human gestures. We measure systematically the performance of the model against noise.Extended Hopfield Network for Sequence Learning: Application to Gesture Recognitiontext::conference output::conference proceedings::conference paper