Motion capture workshop Oslo October 2009
From FourMs
12-16 October 2009, FourMs, University of Oslo
Programme
Tentative, will be changed!
Monday
- 10:00-10:15 Welcome and presentation of participants
- 10:15-11:00 Why MoCap? Status and challenges of music-related movement research. Short introduction and discussion
- 11:00-11:15 Coffee
- 11:15-12:30 Status and challenges of MoCap technologies. Short introduction and discussion
- 12:30-13:30 Lunch (IFI canteen)
- 13:30-15:00 Introduction: The NaturalPoint Optitrack system and other MoCap tools
- 15:00-15:15 Coffee
- 15:15-17:00 Ides of GDIF development and a MoCap database. Presentation and discussion
Tuesday
- 10:00-12:00 MoCap recording session: sample data to be used later that day
- 12:00-13:00 Lunch
- 13:15-15:00 Marc Thompson & Birgitta Burger: Motion Capture Toolbox for Matlab (Open lecture)
- 15:00-15:15 Coffee
- 15:15-17:00 Processing the mornings MoCap data with the MoCap Toolbox
- 19:00 Dinner (Bambus?)
Wednesday
- 10:00-12:00 Session: tools and utilities in Max/Jamoma/FTM and tools in Matlab
- 12:00-13:00 Lunch
- 13:00-15:00 Session: physiological sensing, EMG, hand-held devices
- 15:15-17:00 Marcelo M. Wanderley: Design and Evaluation of New Interfaces for Musical Expression (Open lecture)
- 19:00 Dinner (suggestion?)
Thursday
- 10:00-12:00 Session: simulations, animations, robotics
- 12:00-13:00 Lunch
- 13:00-17:00 Session: evolutionary hardware, machine learning
- 19:00 Dinner (Jomfrubråten)
Friday
- 10:00-13:00 Discussions, summing up, and future plans
Participants
Guests:
- Marcelo M. Wanderley, McGill University
- Marc Thompson, University of Jyväskylä
- Birgitta Burger, University of Jyväskylä
Local group:
- Kyrre Glette
- Rolf Inge Godøy
- Mats Høvin
- Alexander Refsum Jensenius
- Kristian Nymoen
- Ståle Skogstad
- Jim Tørresem
- Master students
Topics
- Data exchange, database solutions (Wanderley & Jensenius)
- Standardisation and data formats (Jensenius)
- Development of tools and utilities in Max/Jamoma/FTM (Nymoen)
- Development of tools in Matlab (Thompson)
- Handheld motion sensing (Skogstad)
- Extracting motion-inducing cues from musical sound (Godøy)
- Physiological sensing, EMG (???)
- Robot session (Høvin)
- Evolutionary hardware (Tørresen)
- Machine learning (Glette)
