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A wearable hybrid IEEE 802.15.4-2011 ultra-wideband/inertial sensor platform for ambulatory tracking
Walsh, Michael; Tedesco, Salvatore; Ye, Tingcong; O'Flynn, Brendan
Ultra-Wideband (UWB) transceivers and low-cost micro electro mechanical systems (MEMS) based inertial sensors are proving a promising hybrid combination for location specific wearable applications. While several hybrid systems have been proposed to date, current approaches consider inertial sensors and UWB as ad-hoc components working in isolation. As a result issues surrounding extensive infrastructure requirements, synchronization, and limitations associated with the mutual sharing of inertial data have arisen. In an attempt to address such limitations, this paper presents a fully-coupled architecture whereby standardised IEEE 802.15.4-2011 UWB is employed for both ranging and as a mechanism for exchanging inertial data between the nodes of a network. A proof-of-concept system is implemented and tested for a single ambulatory use case scenario. Basic fusion algorithms are employed and the preliminary results show the benefits of a fully-coupled approach when compared with traditional standalone inertial navigation.
Keyword(s): Fully coupled architecture; Wearable; Inertial sensors; Hybrid system; MEMS; IEEE 802.15.4-2011 UWB
Publication Date:
2014
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: University College Cork
Citation(s): Walsh, M., Tedesco, S., Ye, T. and O’Flynn, Brendan (2014) ‘A wearable hybrid IEEE 802.15.4-2011 ultra-wideband/inertial sensor platform for ambulatory tracking’, Proceedings of the 9th International Conference on Body Area Networks, London, United Kingdom, 29 Sept - 01 Oct, pp. 352-357. doi: 10.4108/icst.bodynets.2014.258233
Publisher(s): ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
File Format(s): application/pdf
Related Link(s): https://dl.acm.org/doi/10.4108/icst.bodynets.2014.258233
First Indexed: 2020-08-13 07:23:27 Last Updated: 2020-08-13 07:23:27