Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications

By Alvaro Muro-de-la-Herran, B. Garcia-Zapirain, Amaia Méndez-Zorrilla. Italian National Conference on Sensors, 2014

1,110 citations recorded by the source corpus.

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.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Endocrinology, Diabetes and Metabolism

View Paper: https://www.semanticscholar.org/paper/6ff65045b4cee5952f8c974d7488afd47b9e83be

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In Biomedical Engineering

In Electrical and Electronic Engineering

In Endocrinology, Diabetes and Metabolism

Citations in the corpus

Gait Partitioning Methods: A Systematic Review (2016, methodology): “Finally, we decided to exclude other approaches, such as camera and vision-based methods, since the outcomes were only related to other characteristics of the gait, such as gait activity recognition [85–87] and gender recognition [88–90].”
Inertial Sensor-Based Gait Recognition: A Review (2015, background): “Nowadays, performing gait analysis with inertial sensors as an important group of wearable sensors [1,2] has become indispensable in several ﬁelds of research including biomechanics, neurorehabilitation, sport medicine, etc. [3–7].”