01670nas a2200349   4500000000100000008004100001260001500042653002000057653002500077653002500102653002800127653001900155653001700174653001900191653001700210653001800227653002100245653002400266653002300290653002600313653002200339100002000361700001400381700002000395700001800415245007100433856014900504300001200653490000600665520062400671020002501295                                       d  bSciTePress10aComputer Vision10aHidden Markov models10aHidden Markov models10aInteractive exploration10aMotion capture10aMotion Style10aMotion capture10aMotion space10aMotion styles10aProof of concept10aReal-time synthesis10aRealtime Synthesis10aStatistical modelling10aVirtual character1 aJoelle Tilmanne1 aNicolas y1 aMaria Astrinaki1 aThierry Ravet00aExploration of a Stylistic Motion Space Through Realtime Synthesis  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84906919659&doi=10.5220%2f0004876008030809&partnerID=40&md5=1bbcf8b1cc0539460d089b107c24af1f  a803-8090 v23 aWe present a first implementation of a framework for the exploration of stylistic variations in intangible heritage, recorded through motion capture techniques. Our approach is based on a statistical modelling of the phenomenon, which is then presented to the user through a reactive stylistic synthesis, visualised in real-time on a virtual character. This approach enables an interactive exploration of the stylistic space. In this paper, a first implementation of the framework is presented with a proof-of-concept application enabling the intuitive and interactive stylistic exploration of an expressive gait space.  a9789897580048 (ISBN)