@article{ref1,
title="Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2009",
author="Demircan, Emel and Khatib, Oussama and Wheeler, J. and Delp, Scott L.",
volume="1",
number="",
pages="6534-6537",
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.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/IEMBS.2009.5333148",
url="http://dx.doi.org/10.1109/IEMBS.2009.5333148"
}