You are here

Automatic Detection, Extraction and Analysis of Unrestrained Gait Using a Wearable Sensor System

Authors: 

Amin Ahmadi, Chris Richter, Noel O'Connor, Kieran Moran

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Abstract— Within this paper we demonstrate the effectiveness of a novel body-worn gait monitoring and analysis framework to both accurately and automatically assess gait during ’free- living’ conditions. Key features of the system include the ability to automatically identify individual steps within specific gait conditions, and the implementation of continuous waveform analysis within an automated system for the generation of temporally normalized data and their statistical comparison across subjects.
Conference Name: 
IEEE EMBC conference
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
25/08/2015
Conference Location: 
Italy
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes