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:
- integrate
inputs from multiple sensing sources
- establish correspondence
between spatial and temporal motion data at multiple levels
- model
and analyze complex body movements
- extract low, mid and high-level
features
- index, classify and represent motion features
- 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.
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