Work

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

Year: 2009

Type: conference-paper

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.

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/iembs.2009.5333148

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

Institutions: Stanford University, Sandia National Laboratories

Language: English

Topic: Human Motion and Animation

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of General Medical Sciences