The Number of Steps for Representative Real-World, Unsupervised Walking Data Using a Shoe-Worn Inertial Sensor-Reference-Cited by-同舟云学术

The Number of Steps for Representative Real-World, Unsupervised Walking Data Using a Shoe-Worn Inertial Sensor

Published:2023 Issue: Volume:31 Page:1566-1573
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Charlton Jesse M.¹^ORCID,Kuo Calvin²,Hunt Michael A.³^ORCID

Affiliation:

1. School of Biomedical Engineering and the School of Kinesiology, The University of British Columbia, Vancouver, BC, Canada

2. School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada

3. Department of Physical Therapy, The University of British Columbia, Vancouver, BC, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes of Health Research Doctoral Research Award

University of British Columbia 4-Year Fellowship

University of British Columbia Killam Postdoctoral Award

Canadian Institutes of Health Research

Michael Smith Health Research British Columbia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference33 articles.

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