Bharadwaj, Richa, Swaisaenyakorn, Srijittra, Parini, Clive G., Batchelor, John C., Alomainy, Akram (2014) Localization of Wearable Ultra Wideband Antennas for Motion Capture Applications. IEEE Antennas and Wireless Propagation Letters, 13 (1). pp. 507-510. ISSN 1536-1225. (doi:10.1109/LAWP.2014.2309977) (KAR id:41066)
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Official URL: http://dx.doi.org/10.1109/LAWP.2014.2309977 |
Abstract
This paper presents a study of human body localisation using Ultra Wideband (UWB) technology. Various base station configurations, time of arrival and first peak detection algorithms are used to estimate the position of body-worn antennas. Localisation error as small as 1-2 cm has been achieved using 8 base stations which is comparable to the measurement accuracy obtained by complex optical motion capture system to determine the absolute displacement error. The localisation error obtained is better by a third in comparison to common commercial system based on UWB technology. The results demonstrate that Cuboid-shape configuration with 4 base stations gives slightly low average percentage error (2 to 3%) in comparison to Y-shape (4%). However, the Y-shape configuration is more compact and provides setting up simplicity, which makes it convenient for various applications ranging from healthcare monitoring to entertainment technologies either laboratory based or in-home.
Item Type: | Article |
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DOI/Identification number: | 10.1109/LAWP.2014.2309977 |
Uncontrolled keywords: | Ultra Wideband, Localisation, Motion Capture |
Subjects: |
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7871.6 Antennas and waveguides T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7871.6 Antennas and waveguides > TK7871.67.M53 Microwave antennas |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | John Batchelor |
Date Deposited: | 13 May 2014 09:24 UTC |
Last Modified: | 05 Nov 2024 10:25 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/41066 (The current URI for this page, for reference purposes) |
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