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.
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