Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention

E. Demircan; O. Khatib; J. Wheeler; S. Delp

doi:10.1109/IEMBS.2009.5333148

Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention

E. Demircan, O. Khatib, J. Wheeler, S. Delp

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

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)
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	https://doi.org/10.1109/IEMBS.2009.5333148
State	Published - Sep 2009
Externally published	Yes

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10.1109/IEMBS.2009.5333148

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Demircan, E., Khatib, O., Wheeler, J., & Delp, S. (2009). Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention. In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 6534-6537). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IEMBS.2009.5333148

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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.",

author = "E. Demircan and O. Khatib and J. Wheeler and S. Delp",

note = "KAUST 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.",

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doi = "10.1109/IEMBS.2009.5333148",

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Demircan, E, Khatib, O, Wheeler, J & Delp, S 2009, Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention. in 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE), pp. 6534-6537. https://doi.org/10.1109/IEMBS.2009.5333148

Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention. / Demircan, E.; Khatib, O.; Wheeler, J. et al.
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 6534-6537.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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BT - 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Demircan E, Khatib O, Wheeler J, Delp S. Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention. In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE). 2009. p. 6534-6537 doi: 10.1109/IEMBS.2009.5333148

Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention

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