Gibbons, David ORCID: 0000-0003-1111-1542, Magre Colorado, Luz A. ORCID: 0000-0003-3528-2688 and Coyle, Shirley ORCID: 0000-0003-0493-8963 (2024) An IoT-enabled knee-sleeve for home rehabilitation: a pilot study. In: 5th International Conference on the Challenges, Opportunities, Innovations and Applications in Electronic Textiles, 14-16 Nov 2023, Ghent, Belgium.
Abstract
In this project, a smart knee sleeve was developed for the purpose of measuring a subject’s knee angle continually. The device is wireless and washable, making it suitable for rehabilitation at home. Two separate methods were incorporated onto a standard knee sleeve: a flexible silicone-based bend sensor and two IMUs. Each approach was evaluated, and testing was conducted on three subjects wearing the knee sleeve, using a reference video motion-tracking method. Squats were used as the exercise protocol for testing. The results showed that the flex sensor performed better for two of the three participants, with an average RMSE of 8.3 degrees, which is comparable to results from related research.
Metadata
Item Type: | Conference or Workshop Item (Poster) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | flex sensors; inertial measurement units; knee angle measurement; wearable technology |
Subjects: | Engineering > Electronic engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering Research Institutes and Centres > INSIGHT Centre for Data Analytics Research Institutes and Centres > d-real |
Published in: | Engineering Proceedings. 52(1). MDPI. |
Publisher: | MDPI |
Official URL: | https://doi.org/10.3390/engproc2023052002 |
Copyright Information: | © 2024 The Authors. |
Funders: | d-real, SFI 18/CRT/6224, Insight Research Centre for Data Analytics at Dublin City University (Under grant number, SFI/12/2289_P2) |
ID Code: | 29561 |
Deposited On: | 07 Feb 2024 11:23 by Luz Magre . Last Modified 07 Feb 2024 11:34 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution 4.0 1MB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record