Mobile Stride Length Estimation With Deep Convolutional Neural Networks.
Journal:
IEEE journal of biomedical and health informatics
Published Date:
Mar 9, 2017
Abstract
OBJECTIVE: Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of state-of-the-art double integration approaches to gait patterns with a clear zero-velocity phase.