Automatic detection, extraction and analysis of unrestrained gait using a wearable sensor system
Ahmadi, Amin, Richter, Chris, O'Connor, Noel E.ORCID: 0000-0002-4033-9135 and Moran, KieranORCID: 0000-0003-2015-8967
(2015)
Automatic detection, extraction and analysis of unrestrained gait using a wearable sensor system.
In: IEEE Engineering in Medicine and Biology Society, 25-29 Aug 2015, Milan, Italy.
Within this paper we demonstrate thee ffectiveness of a novel body-worn gait monitoring and analysis framework to both accurately and automatically assess gait during ’freeliving’ 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.