@inproceedings{7922,
  keywords = {Computer Vision, Hidden Markov models, Hidden Markov models, Interactive exploration, Motion capture, Motion Style, Motion capture, Motion space, Motion styles, Proof of concept, Real-time synthesis, Realtime Synthesis, Statistical modelling, Virtual character},
  author = {Joelle Tilmanne and Nicolas y and Maria Astrinaki and Thierry Ravet},
  title = {Exploration of a Stylistic Motion Space Through Realtime Synthesis},
  abstract = {We 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.},
  booktitle = {VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.},
  volume = {2},
  pages = {803-809},
  publisher = {SciTePress},
  school = {SciTePress},
  isbn = {9789897580048 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906919659&doi=10.5220%2f0004876008030809&partnerID=40&md5=1bbcf8b1cc0539460d089b107c24af1f},
  doi = {10.5220/0004876008030809},
  note = {Journal Abbreviation: VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.},
}