motione participant Arts, media and Engineering

computer screens

creating integrated physical-digital experiences research
dancers movement in real time
creating hybrid experiences

Real time, multi-level motion analysis

Motion analysis is a highly complex problem
Motion analysis is a complex problem due to the 3D nature of the human body, the infinite possibilities of human movements; variability of movement execution betweenmovers, continuous, adaptive learning through feedback from and interactions with the environment, and the inherent multiple levels of movement structure in terms of time, space and energy.

To capture the full essence of movement and to analyze motion we need to do the following:

  1. integrate inputs from multiple sensing sources
  2. establish correspondence between spatial and temporal motion data at multiple levels
  3. model and analyze complex body movements
  4. extract low, mid and high-level features
  5. index, classify and represent motion features
  6. develop interactive feedback and application specific multimodal displays

Motion analysis requires well-supported, long-term, interdisciplinary collaborations: IREMA and the NSF Research Infrastructure grant
The complexity of real time motion analysis makes it unrealistic for a single discipline to address all its aspects. AME founded the Interdisciplinary Research Environment for Motion Analysis (IREMA) initiative that integrates researchers from ten disciplines to create a holistic model for motion analysis research and education. IREMA has received a 5-year Research Infrastructure grant from the NSF to facilitate its research in real time motion analysis.



The Katherine K. Herberger College of Fine Art and the Ira A. Fulton School of Engineering at Arizona State University.
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