[en] This deliverable entitled 'ICH Indexing by Stylistic Factors and Locality Variations' presents different approaches developed for the stylistic analysis of dance performances and pottery construction sessions. Motion Machine, a new framework for stylistic analysis and comparison of full body gestures is presented, along with a set of stylistic motion analysis features, and a module for statistical factors and features exploration. Three different dance use cases are approached using this framework. In the second part of the deliverable, a stylistic analysis of pottery gesture is conducted based on electromyography data from the MYO sensor.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Laraba, Sohaib ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Tilmanne, Joëlle ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Tits, Mickaël ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Ververidis, Dimitrios
Nikolopoulos, Spiros
Nikolaidis, Stathis
Chalikias, Anastasios-Papazoglou
Language :
English
Title :
Intangible Cultural Heritage Indexing by Stylistic Factors and Locality Variations - FP7 i-Treasures Deliverable 4.5
Publication date :
13 March 2016
Number of pages :
68
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique R450 - Institut NUMEDIART pour les Technologies des Arts Numériques