Denis Amelynck

Amelynck, Denis, et al. “Beating-Time Gestures Imitation Learning for Humanoid Robots.” EAI ENDORSED TRANSACTIONS ON CREATIVE TECHNOLOGIES, vol. 4, no. 13, Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST), 2017, doi:10.4108/eai.8-11-2017.153335.

Amelynck, Denis, et al. “The Surprising Character of Music : A Search for Sparsity in Music Evoked Body Movements.” Analysis of Large and Complex Data, edited by Adalbert Wilhelm and Hans Kestler, Springer International Publishing, 2016, pp. 425–35, doi:10.1007/978-3-319-25226-1_36.

Amelynck, Denis. The Analysis of Bodily Gestures in Response to Music : Methods for Embodied Music Cognition Based on Machine Learning. Ghent University. Faculty of Engineering and Architecture ; Faculty of Arts and Philosophy, 2014.

Amelynck, Denis, et al. “Expressive Body Movement Responses to Music Are Coherent, Consistent, and Low Dimensional.” IEEE TRANSACTIONS ON CYBERNETICS, vol. 44, no. 12, 2014, pp. 2288–301, doi:10.1109/TCYB.2014.2305998.

Maes, Pieter-Jan, et al. “The Conducting Master: An Interactive, Real-Time Gesture Monitoring System Based on Spatiotemporal Motion Templates.” INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, vol. 29, no. 7, 2013, pp. 471–87, doi:10.1080/10447318.2012.720197.