Antonio Camurri
ABSTRACT
In this paper, we present (i) a computational model of Dynamic Symmetry of human movement, and (ii) a system to teach this movement quality (symmetry or asymmetry) by means of an interactive sonification exergame based on IMU sensors and the EyesWeb XMI software platform. The implemented system is available as a demo at the workshop.
- Piana, S., Mancini, M., Camurri, A., Varni, G., and Volpe, G. Automated analysis of non-verbal expressive gesture. In Human Aspects in Ambient Intelligence. Atlantis Press, 2013, 41--54Google Scholar
Cross Ref
- Mancini, M., Varni, G., Glowinski, D., and Volpe, G. Computing and evaluating the body laughter index. In Human Behavior Understanding. Springer Berlin Heidelberg, 2012, 90--98. Google ScholarDigital Library
- http://www.x-io.co.uk/products/x-oscGoogle Scholar
- Camurri, A., Volpe, G., Piana, S., Mancini, M., Niewiadomski, R., Ferrari, N., Canepa, C. The Dancer in the Eye: Towards a Multi-Layered Computational Framework of Qualities in Movement. In Proc. MOCO 2016 Intl Workshop. ACM Press, 2016, Thessaloniki. Google ScholarDigital Library
- WhoLoDancE Partners. WhoLoDancE: Towards a methodology for selecting Motion Capture Data across different Dance Learning Practices. In Proc. MOCO 2016 Intl Workshop, ACM Press, 2016, Thessaloniki. Google ScholarDigital Library
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