You are here

Detection of running asymmetry using a wearable sensor system

Authors: 

Kieran Moran, Chris Richter, Evan Farrella, Edmond Mitchell, Amin Ahmadi, Noel O'Connor

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
We demonstrate a wearable ambulatory analysis framework that could be used to evaluate running asymmetry, day-to-day during unconstrained training. The system can automatically differentiate running from other training movement tasks, and extract all of the runner’s associated step-cycles (heel-strike to heel-strike). We evaluate the system’s ability in 21 participants who have artificially induced asymmetry. Impact accelerations differentiate asymmetry more effectively than angular velocities (gyroscope), and tibial inertial sensors differentiate more effectively than sensors attached to the thigh.
Conference Name: 
Asia-Pacific Congress on Sports Technology
Proceedings: 
7th Asia-Pacific Congress on Sports Technology, APCST 2015
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
23/09/2015
Conference Location: 
Spain
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
No