Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23475
Title: A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment
Authors: Bawa, A
Banitsas, K
Abbod, M
Issue Date: 1-Nov-2021
Publisher: Hindawi
Citation: Bawa, A., Banitsas, K. and Abbod, M. (2021) 'A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment', Journal of Healthcare Engineering, 2021, Article ID 4360122, pp. 1-19. doi: 10.1155/2021/4360122.
Abstract: Copyright © 2021 Anthony Bawa et al. Gait and posture studies have gained much prominence among researchers and have attracted the interest of clinicians. The ability to detect gait abnormality and posture disorder plays a crucial role in the diagnosis and treatment of some diseases. Microsoft Kinect is presented as a noninvasive sensor essential for medical diagnostic and therapeutic purposes. There are currently no relevant studies that attempt to summarise the existing literature on gait and posture abnormalities using Kinect technology. The purpose of this study is to critically evaluate the existing research on gait and posture abnormalities using the Kinect sensor as the main diagnostic tool. Our studies search identified 458 for gait abnormality, 283 for posture disorder of which 26 studies were included for gait abnormality, and 13 for posture. The results indicate that Kinect sensor is a useful tool for the assessment of kinematic features. In conclusion, Microsoft Kinect sensor is presented as a useful tool for gait abnormality, postural disorder analysis, and physiotherapy. It can also help track the progress of patients who are undergoing rehabilitation.
Description: Data Availability The data that support the findings of this review paper can be sourced from the summarised table in the study and the references provided.
URI: https://bura.brunel.ac.uk/handle/2438/23475
DOI: https://doi.org/10.1155/2021/4360122
ISSN: 2040-2295
Other Identifiers: ORCID iD: Anthony Bawa https://orcid.org/0000-0002-0127-4949
ORCID iD: Konstantinos Banitsas https://orcid.org/0000-0003-2658-3032
ORCID iD: Maysam Abbod https://orcid.org/0000-0002-8515-7933
4360122
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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