A novel architecture for the detection, exploitation and historical archival of indoor semantic trajectories: A case study on nursing homes

Bibliographic 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. https://doi.org/10.1108/IJPCC-02-2024-0048

Type of academic work

Academic degree

Abstract

[Abstract]: We introduce an automatic system, based on indoor positioning techniques, aimed at improving the quality of service of a nursing home. It tracks the location of both residents and caregivers and automatically detects the activities taking place. The system presents a hybrid approach for storing large amounts of data, using both a traditional relational database and an ad-hoc compact data structure, enabling compact storage of the information without compromising fast random access. Our proposal is complemented by a graphical user interface that can dynamically display collected trajectories within the facilities. Having access to all this information, our system will be able to evaluate the quality of health care offered to their residents, as well as assess the efficiency of the nursing home as a business.

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Rights

Atribución-NoComercial 3.0 España
Atribución-NoComercial 3.0 España

Except where otherwise noted, this item's license is described as Atribución-NoComercial 3.0 España