Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces
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,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2023
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| Online Access: | https://umpir.ump.edu.my/id/eprint/44268/ |
| _version_ | 1848827321673318400 |
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| author | Sikandar, Tasriva Mohammad Fazle, Rabbi Kamarul Hawari, Ghazali Altwijri, Omar Almijalli, Mohammed Ahamed, Nizam Uddin |
| author_facet | Sikandar, Tasriva Mohammad Fazle, Rabbi Kamarul Hawari, Ghazali Altwijri, Omar Almijalli, Mohammed Ahamed, Nizam Uddin |
| author_sort | Sikandar, Tasriva |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:58:51Z |
| format | Article |
| id | ump-44268 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:58:51Z |
| publishDate | 2023 |
| publisher | Nature Publishing Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-442682025-08-11T03:09:32Z https://umpir.ump.edu.my/id/eprint/44268/ Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces Sikandar, Tasriva Mohammad Fazle, Rabbi Kamarul Hawari, Ghazali Altwijri, Omar Almijalli, Mohammed Ahamed, Nizam Uddin TK Electrical engineering. Electronics Nuclear engineering 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. Nature Publishing Group 2023-12 Article PeerReviewed pdf en cc_by_4 https://umpir.ump.edu.my/id/eprint/44268/1/Minimum%20number%20of%20inertial%20measurement%20units%20needed%20to%20identify.pdf Sikandar, Tasriva and Mohammad Fazle, Rabbi and Kamarul Hawari, Ghazali and Altwijri, Omar and Almijalli, Mohammed and Ahamed, Nizam Uddin (2023) Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces. Scientific Reports, 13 (1). pp. 1-14. ISSN 2045-2322. (Published) https://doi.org/10.1038/s41598-023-43428-9 https://doi.org/10.1038/s41598-023-43428-9 https://doi.org/10.1038/s41598-023-43428-9 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sikandar, Tasriva Mohammad Fazle, Rabbi Kamarul Hawari, Ghazali Altwijri, Omar Almijalli, Mohammed Ahamed, Nizam Uddin Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces |
| title | Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces |
| title_full | Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces |
| title_fullStr | Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces |
| title_full_unstemmed | Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces |
| title_short | Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces |
| title_sort | minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | https://umpir.ump.edu.my/id/eprint/44268/ https://umpir.ump.edu.my/id/eprint/44268/ https://umpir.ump.edu.my/id/eprint/44268/ |