A novel architecture for the detection, exploitation and historical archival of indoor semantic trajectories: a case study on nursing homes
International Journal of Pervasive Computing and Communications
ISSN: 1742-7371
Article publication date: 11 December 2024
Abstract
Purpose
This paper aims to build an indoor positioning system capable of tracking residents and caregivers and feeding a novel information system with this data. This information system introduces three main interesting modules: a compact data structure to efficiently store the gathered data, an activity deduction module that add semantics to the raw captured trajectories and a user-friendly interface able to display this spatio-temporal information.
Design/methodology/approach
Their proposal was built following an iterative and incremental development. Nursing home managers cooperated in the requirement composition phase, while some residents and caregivers contributed testing the system with their real trajectories.
Findings
Their contribution is a functional information system that can evaluate the quality of healthcare provided to residents and assess the efficiency of the nursing home as a business. This information system includes a novel state-of-the-art compact data structure to efficiently work with the captured data.
Originality/value
A new system has been designed and implemented using a wide range of technologies to support the necessities of a real enterprise. The rudimentary position tracking systems were upgraded to a feasible automatic indoor positioning solution. The amount of information generated by this new strategy is dealt with compact data structures, reducing space usage without jeopardizing query times. Those compressed positions are tagged with semantic information that enables individual activity analysis. Last, a user-friendly interface lets the final user interact with the gathered and calculated information. As future work, the authors plan to improve the integration of this new information system with other systems already in use in indoor mobile workforce environments.
Keywords
Acknowledgements
CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021–27 operational program (Ref. ED431G 2023/01); and by FEDER Galicia 2014–2020 80%, SXU 20% [CSI: ED431G 2019/01]; MCIN/AEI/10.13039/501100011033 ([EXTRA-Compact: PID2020-114635RB-I00]; “NextGenerationEU”/PRTR [SIGTRANS: PDC2021-120917-C21], [PLAGEMIS: TED2021-129245B-C21], [FLATCITY: PDC2021-121239-C31]; EU/ERDF A way of making Europe [OASSIS-UDC: PID2021-122554OB-C3], [EarthDL: PID2022-141027NB-C21]); by GAIN/Xunta de Galicia [GRC: ED431C 2021/53]; by UE FEDER [0079_ATEMPO_6_E],[0064_GRESINT_1_E].
Data availability statement: The data that support the viability of the compact data representation are available in https://gitlab.lbd.org.es/lbd-open/indrep.
Citation
Varela Rodeiro, T., Gutiérrez Asorey, P., R. Brisaboa, N., Rodríguez Penabad, M. and Cortiñas, A. (2024), "A novel architecture for the detection, exploitation and historical archival of indoor semantic trajectories: a case study on nursing homes", International Journal of Pervasive Computing and Communications, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPCC-02-2024-0048
Publisher
:Emerald Publishing Limited
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