[en] Skeletal data acquisition generates a huge amount of high- dimensionality data. In many fields where motion capture techniques are now used, practitioners would greatly benefit from high-level representations of these motion sequences. However meaningful motion data dimensionality reduction is not a trivial task and the selection of the best set of features will largely depend on the considered use case, hence enhancing the need for a fast customization and prototyping tool. In this work, we present a prototyping tool for motion representation and in- teraction design based on the MotionMachine framework, as well as use cases of new audiovisual instruments that use full-body motion to drive sound and visuals. These instruments have been developed using the proposed prototyping environment. The development of these instruments is a proof of concept and demonstrates the potential of an elaborate choice of higher-level feature extraction techniques in improving the human/computer interaction and leading to more expressive experiences.
Disciplines :
Library & information sciences
Author, co-author :
Tilmanne, Joëlle ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
D'alessandro, Nicolas
Barborka, Petr
Bayansar, Furkan
Bernardo, Francisco
Fiebrink, Rebecca
Héloir, Alexis
Hemery, Edgar
Laraba, Sohaib ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Moinet, Alexis ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Nunnar, Fabrizio
Ravet, Thierry ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Reboursière, Loic ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Sarasúa, Alvaro
Tits, Mickaël ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle