Abstract
In this paper we present methods to track and characterize human dynamic skills using motion capture and electromographic sensing. These methods are based on task-space control to obtain the joint kinematics and extract the key physiological parameters and on computed muscle control to solve the muscle force distribution problem. We also present a dynamic control and analysis framework that integrates these metrics for the purpose of reconstructing and analyzing sports motions in real-time.
Original language | English (US) |
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Title of host publication | 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 6534-6537 |
Number of pages | 4 |
ISBN (Print) | 9781424432967 |
DOIs | |
State | Published - Sep 2009 |
Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledgements: This work was supported in part bythe Simbios National Center for Biomedical Computing Grant(http://simbios.stanford.edu/, NIH GM072970) and KAUST (KingAbdullah University of Science and Technology).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.