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Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications
Open accessAbstract
This article presents a review of the methods used in recognition and analysis of the human gait from three different approaches: image processing, floor sensors and sensors placed on the body. Progress in new technologies has led the development of a series of devices and techniques which allow for objective evaluation, making measurements more efficient and effective and providing specialists with reliable information. Firstly, an introduction of the key gait parameters and semi-subjective methods is presented. Secondly, technologies and studies on the different objective methods are reviewed. Finally, based on the latest research, the characteristics of each method are discussed. 40% of the reviewed articles published in late 2012 and 2013 were related to non-wearable systems, 37.5% presented inertial sensor-based systems, and the remaining 22.5% corresponded to other wearable systems. An increasing number of research works demonstrate that various parameters such as precision, conformability, usability or transportability have indicated that the portable systems based on body sensors are promising methods for gait analysis.
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Cites
Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics
Zhang, J.-T., Novak, A. C., Brouwer, B., & Li, Q. (2013) · Physiological Measurement · doi:10.1088/0967-3334/34/8/n63 · Cited by 314
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Gait Partitioning Methods: A Systematic Review
Taborri, J., Palermo, E., Rossi, S., & Cappa, P. (2016) · Sensors · doi:10.3390/s16010066 · Cited by 361
Wearable Sensors for Monitoring Human Motion: A Review on Mechanisms, Materials, and Challenges
Homayounfar, S. Z., & Andrew, T. L. (2020) · SLAS TECHNOLOGY · doi:10.1177/2472630319891128 · Cited by 227
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Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges
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Metadata
- Authors
- Muro-de-la-Herran, A., Garcia-Zapirain, B., & Mendez-Zorrilla, A.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2014-02-19
- Volume
- 14
- Issue
- 2
- Pages
- 3362-3394
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W1970493599
- Cited by
- 1,172
- References
- 1
- FWCI
- 29.80
- Type
- journal article
- Language
- en
- Open access
- gold
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- Muro-de-la-Herran, A., Garcia-Zapirain, B., & Mendez-Zorrilla, A. (2014). Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications. Sensors. https://doi.org/10.3390/s140203362
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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