Title :
Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention
Author :
Demircan, Emel ; Khatib, Oussama ; Wheeler, Jason ; Delp, Scott
Author_Institution :
Mech. Eng. Dept., Stanford Univ., Stanford, CA, USA
Abstract :
In this paper we present methods to track and characterize human dynamic skills using motion capture and electromyographic 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.
Keywords :
electromyography; gait analysis; medical signal processing; motion control; signal reconstruction; EMG; athletics; electromyography; human movement; motion capture; muscle force distribution; reconstruction; task-space control; Algorithms; Athletic Injuries; Biofeedback, Psychology; Electromyography; Humans; Movement; Physical Fitness; Sports; Task Performance and Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333148