Minimum number of inertial measurement units needed to identify signiicant variations in walk patterns of overweight individuals walking on irregular surfaces

Sikandar, Tasriva and Rabbi, Mohammad Fazle and Kamarul Hawari, Ghazali and Altwijri, Omar and Almijalli, Mohammed and Ahamed, Nizam Uddin (2023) Minimum number of inertial measurement units needed to identify signiicant variations in walk patterns of overweight individuals walking on irregular surfaces. Scientific Reports, 13 (16177). pp. 1-14. ISSN 2045-2322. (Published)

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DOI/Official URL: https://doi.org/10.1038/s41598-023-43428-9

Abstract

Gait data collection from overweight individuals walking on irregular surfaces is a challenging task that can be addressed using inertial measurement unit (IMU) sensors. However, it is unclear how many IMUs are needed, particularly when body attachment locations are not standardized. In this study, we analysed data collected from six body locations, including the torso, upper and lower limbs, to determine which locations exhibit significant variation across different real-world irregular surfaces. We then used deep learning method to verify whether the IMU data recorded from the identified body locations could classify walk patterns across the surfaces. Our results revealed two combinations of body locations, including the thigh and shank (i.e., the left and right shank, and the right thigh and right shank), from which IMU data should be collected to accurately classify walking patterns over real-world irregular surfaces (with classification accuracies of 97.24 and 95.87%, respectively). Our findings suggest that the identified numbers and locations of IMUs could potentially reduce the amount of data recorded and processed to develop a fall prevention system for overweight individuals.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Obesity; Body mass; Knee joint
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	07 Jan 2025 05:01
Last Modified:	07 Jan 2025 05:01
URI:	http://umpir.ump.edu.my/id/eprint/42900
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