[MARS] a real time motion capture and muscle fatigue monitoring tool

Authors:
Frank Mokaya;Brian Nguyen;Cynthia Kuo;Quinn Jacobson;Pei Zhang
Affiliations:
Carnegie Mellon University;Vibrado Technologies;Vibrado Technologies;Vibrado Technologies;Carnegie Mellon University
Venue:
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Year:
2012

Citing 4
Cited 0

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MARS: a muscle activity recognition system using inertial sensors

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Abstract

Incorrect muscle usage and muscle fatigue are a leading cause of many sports injures. As a result, sensing and monitoring muscles, as well as human motion, is important. Toward this end, we present the Muscle Activity Recognition System (MARS) system. MARS utilizes a system of small inertial sensors to deduce body motion and muscle fatigue. In this demo we demonstrate how MARS' sensors, placed on the major muscles of the lower body (hamstrings, quadriceps, calves), are used for motion capture and muscle fatigue determination. The system uses an animated human body model to display the motion of the subject, and highlight using different colors, the fatigue status of the muscles in use.