Literature DB >> 19964175

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

Emel Demircan1, Oussama Khatib, Jason Wheeler, Scott Delp.   

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.

Entities:  

Mesh:

Year:  2009        PMID: 19964175      PMCID: PMC4479296          DOI: 10.1109/IEMBS.2009.5333148

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Generating dynamic simulations of movement using computed muscle control.

Authors:  Darryl G Thelen; Frank C Anderson; Scott L Delp
Journal:  J Biomech       Date:  2003-03       Impact factor: 2.712

2.  An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures.

Authors:  S L Delp; J P Loan; M G Hoy; F E Zajac; E L Topp; J M Rosen
Journal:  IEEE Trans Biomed Eng       Date:  1990-08       Impact factor: 4.538

3.  A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control.

Authors:  Katherine R S Holzbaur; Wendy M Murray; Scott L Delp
Journal:  Ann Biomed Eng       Date:  2005-06       Impact factor: 3.934

4.  Robotics-based synthesis of human motion.

Authors:  O Khatib; E Demircan; V De Sapio; L Sentis; T Besier; S Delp
Journal:  J Physiol Paris       Date:  2009-08-07

5.  Investigation of rotational skin stretch for proprioceptive feedback with application to myoelectric systems.

Authors:  Jason Wheeler; Karlin Bark; Joan Savall; Mark Cutkosky
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-01-12       Impact factor: 3.802

  5 in total

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