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)|
|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)|
|Number of pages||4|
|State||Published - Sep 2009|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.