3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon
Journal article
Rana, S., Dey, M., Ghavami, M. and Dudley-McEvoy, S. (2021). 3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon. IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3069044
Authors | Rana, S., Dey, M., Ghavami, M. and Dudley-McEvoy, S. |
---|---|
Abstract | Gait disorder diagnosis and rehabilitation is one area where human perception and observation are highly integrated. Predominantly, gait evaluation, comprises technological devices for gait analysis such as, dedicated force sensors, cameras, and wearable sensor based solutions, however they are limited by insufficient gait parameter recognition, post processing, installation costs, mobility, and skin irritation issues. Thus, the proposed study concentrates on the creation of a widely deployable, noncontact and non-intrusive gait recognition method from impulse radio ultra wideband (IR-UWB) sensing phenomenon, where a standalone IR-UWB system can detect gait problems with less human intervention. A 3D human motion model for gait identification from IR-UWB has been proposed with embracing spherical trigonometry and vector algebra to determine knee angles. Subsequently, normal and abnormal walking subjects were involved in this study. Abnormal gait subjects belong to the spastic gait category only. The prototype has been tested in both the anechoic and multipath environments. The outcomes have been corroborated with a simultaneously deployed Kinect Xbox sensor and supported by statistical graphical approach Bland and Altman (B&A) analysis. |
Keywords | Gait; Impulse Radio UltraWideband; 3D Gait Identification; Kinect Xbox Sensor; Bland and Altman Plot |
Year | 2021 |
Journal | IEEE Transactions on Instrumentation and Measurement |
Journal citation | 70 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISSN | 0018-9456 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TIM.2021.3069044 |
Publication dates | |
26 Mar 2021 | |
Publication process dates | |
Accepted | 06 Mar 2021 |
Deposited | 25 Mar 2021 |
Accepted author manuscript | License File Access Level Open |
Additional information | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
https://openresearch.lsbu.ac.uk/item/8w63x
Download files
191
total views375
total downloads1
views this month0
downloads this month