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Cited by 443

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

Chen, Shanshan, Lach, John, Lo, Benny, Yang, Guang-Zhong·2016·IEEE Journal of Biomedical and Health Informatics

Abstract

After decades of evolution, measuring instruments for quantitative gait analysis have become an important clinical tool for assessing pathologies manifested by gait abnormalities. However, such instruments tend to be expensive and require expert operation and maintenance besides their high cost, thus limiting them to only a small number of specialized centers. Consequently, gait analysis in most clinics today still relies on observation-based assessment. Recent advances in wearable sensors, especially inertial body sensors, have opened up a promising future for gait analysis. Not only can these sensors be more easily adopted in clinical diagnosis and treatment procedures than their current counterparts, but they can also monitor gait continuously outside clinics - hence providing seamless patient analysis from clinics to free-living environments. The purpose of this paper is to provide a systematic review of current techniques for quantitative gait analysis and to propose key metrics for evaluating both existing and emerging methods for qualifying the gait features extracted from wearable sensors. It aims to highlight key advances in this rapidly evolving research field and outline potential future directions for both research and clinical applications.

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Metadata

Authors
Chen, S., Lach, J., Lo, B., & Yang, G.-Z.
Venue
IEEE Journal of Biomedical and Health Informatics
Published
2016-11
Volume
20
Issue
6
Pages
1521-1537
ISSN
  • 2168-2194 (ISSN-L)
  • 2168-2208
OpenAlex
W2560253279
Cited by
443
References
5
FWCI
2.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review. https://app.cochat.ai/papers/10.1109/jbhi.2016.2608720
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Chen, S., Lach, J., Lo, B., & Yang, G.-Z. (2016). Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2016.2608720

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