University of Mons (UMONS)

The University of Mons (UMONS) gathers six faculties developing education and international-level research activities. The POLETI Research Center in Information Technologies and the NUMEDIART Institute for New Media Art Technology will be involved in this project.

NUMEDIART emerged from the largest research project funded in Wallonia on digital art technology and organizer of art/engineering projects in which the man-machine interaction aims at creating emotions. POLETI and NUMEDIART together gather more than 100 researchers addressing complementary areas of information technology, coordinated by 17 professors and 20 senior researchers. Research areas include sensors, hardware and microelectronics, software, computer science and high-performance computing, optical and wireless telecommunications, decision support and applied mathematics, as well as signal processing including speech and multimedia, with a range of application areas and industrial partnerships.

POLETI has established industrial collaborations with several companies and also has an important track record of international collaborations. POLETI is the co-founder of two significant regional research and innovation centers in the areas of signal processing and computer science: Multitel and CETIC. Recent EU level and large scale regional projects include: FP6 SIMILAR NoE, FP6 CALLAS IP, FP7 ILHAIRE (coordinator), FP7 LinkedTV IP, ITEA2 DIYSE, and several COST networks.

More particularly, NUMEDIART has been developing expertise in human motion processing, with previous research on motion capture, motion modeling including their stylistic facets, and motion synthesis. Pattern recognition and classification from motion data as well as 3D point clouds are also being studied. Walking has been studied extensively, and dance motion has been the subject of collaborations with artists, f.i. within the Dancers project where content-based approaches for browsing dance videos have been developed.

In this project, UMONS will be coordinating the use case centered on dance, focusing on two user categories, on one side, the general public, and on the other side professional choreographers who are looking for new approaches to access and benefit from dance gesture corpora. UMONS will naturally contribute to research in Task 3.2 (Body and Gesture Recognition), as well as all tasks of WP4 (Data Fusion and Semantic Modeling). This project will provide the opportunity to the group to bring a critical mass to explore more in depth those earlier developments. Note that UMONS key personnel also have previous experience with FP7 project management.