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Denis Amelynck
Denis Amelynck
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Bestätigte E-Mail-Adresse bei hogent.be
Titel
Zitiert von
Zitiert von
Jahr
Expressive body movement responses to music are coherent, consistent, and low dimensional
D Amelynck, PJ Maes, JP Martens, M Leman
IEEE transactions on cybernetics 44 (12), 2288-2301, 2014
282014
Toward e-motion-based music retrieval a study of affective gesture recognition
D Amelynck, M Grachten, L Van Noorden, M Leman
IEEE transactions on affective computing 3 (2), 250-259, 2011
252011
Dance-the-Music: an educational platform for the modeling, recognition and audiovisual monitoring of dance steps using spatiotemporal motion templates
PJ Maes, D Amelynck, M Leman
EURASIP Journal on Advances in Signal Processing 2012, 1-16, 2012
242012
The “Conducting Master”: an interactive, real-time gesture monitoring system based on spatiotemporal motion templates
PJ Maes, D Amelynck, M Lesaffre, M Leman, DK Arvind
International Journal of Human-Computer Interaction 29 (7), 471-487, 2013
222013
The analysis of bodily gestures in response to music: methods for embodied music cognition based on machine learning
D Amelynck
Ghent University, 2014
72014
Beating-Time Gestures Imitation Learning for Humanoid Robots
D Amelynck, PJ Maes, JP Martens, M Leman
EAI Endorsed Transactions on Creative Technologies 4 (13), e4-e4, 2017
12017
The surprising character of music: a search for sparsity in music evoked body movements
D Amelynck, PJ Maes, M Leman, JP Martens
Analysis of Large and Complex Data, 425-435, 2016
12016
Modeling Music Interaction
D Amelynck
The Routledge Companion to Embodied Music Interaction, 323-331, 2017
2017
2014 Index IEEE Transactions on Cybernetics Vol. 44
DA Abbink, AI Adamatzky, AA Ahmed, D Akay, R Alhajj, D Amelynck, ...
IEEE Transactions on Cybernetics 44 (12), 2861, 2014
2014
2012 Index IEEE Transactions on Affective Computing Vol. 3
J Agapito, F Agrafioti, O AlZoubi, D Amelynck, AK Anderson, RSJ Baker, ...
IEEE Transactions on Affective Computing 4 (1), 1, 2013
2013
A multiobjective evolutionary algorithm based on similarity for community detection from signed social networks.
C Liu, J Liu, Z Jiang, D Amelynck, PJ Maes, JP Martens, M Leman
Towards E-Motion Based Music Retrieval
D Amelynck, M Grachten, L Van Noorden, M Leman
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