EvoMove: Evolutionary-based living musical companion

Sergio Peignier 1, 2 Jonas Abernot 2 Christophe Rigotti 3, 1, 2 Guillaume Beslon 1, 2
2 BEAGLE - Artificial Evolution and Computational Biology
LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558, Inria Grenoble - Rhône-Alpes, LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The EvoMove system is a motion-based musical companion that relies on a commensal computing scheme. The system relies on wireless sensors to detect dancer moves. The sensor information is sent to KymeroClust, an evolutionary algorithm that identifies and maintains a clustering model of the move categories. The system uses this information to play audio samples according to the detected categories. These categories are not predefined, but are built dynamically by clustering the stream of data coming from the motion sensors. The EvoMove system has been tested by different users and subjective promising experiences are reported.
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Submitted on : Thursday, August 3, 2017 - 9:23:57 PM
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Sergio Peignier, Jonas Abernot, Christophe Rigotti, Guillaume Beslon. EvoMove: Evolutionary-based living musical companion. European Conference on Artificial Life (ECAL), Sep 2017, Villeurbanne, France. pp.1-8. ⟨hal-01569091v2⟩

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