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Due to the large number of elderly people with physical and cognitive issues, there is a strong need to provide indoor location systems that help caregivers monitor as many people as possible and with the best quality possible. In this paper, a fuzzy indoor location methodology is proposed in a smart environment based on mobile devices and Bluetooth Low Energy (BLE) beacons where a set of Received Signal Strength Indicators (RSSI) is received by mobile devices worn by the inhabitants. The use of fuzzy logic and a fuzzy linguistic approach is proposed to deal with the imprecise nature of the RSSI values, which are influenced by external factors such as radio waves, causing significant fluctuations. A case study carried out at the Smart Lab of the University of Jaén (UJAmI Smart Lab) is presented to demonstrate the effectiveness of the proposed methodology, where our proposal is compared with a non-fuzzy logic approach, obtaining an accuracy of 91.63%, approximately 10 points higher than the methodology without using fuzzy logic. Finally, our theoretical proposal is accompanied by a description of the UJAmI Location system, which applies the theory to the functionality of locating elderly people in indoor environments.
Antonio-Pedro Albín-Rodríguez; Yolanda-María De-La-Fuente-Robles; José-Luis López-Ruiz; Ángeles Verdejo-Espinosa; Macarena Espinilla Estévez. UJAmI Location: A Fuzzy Indoor Location System for the Elderly. International Journal of Environmental Research and Public Health 2021, 18, 8326 .
AMA StyleAntonio-Pedro Albín-Rodríguez, Yolanda-María De-La-Fuente-Robles, José-Luis López-Ruiz, Ángeles Verdejo-Espinosa, Macarena Espinilla Estévez. UJAmI Location: A Fuzzy Indoor Location System for the Elderly. International Journal of Environmental Research and Public Health. 2021; 18 (16):8326.
Chicago/Turabian StyleAntonio-Pedro Albín-Rodríguez; Yolanda-María De-La-Fuente-Robles; José-Luis López-Ruiz; Ángeles Verdejo-Espinosa; Macarena Espinilla Estévez. 2021. "UJAmI Location: A Fuzzy Indoor Location System for the Elderly." International Journal of Environmental Research and Public Health 18, no. 16: 8326.
We live in complex times in the health, social, political, and energy spheres, and we must be aware of and implement new trends in intelligent social health systems powered by the Internet of Things (IoT). Sustainable development, energy efficiency, and public health are interrelated parameters that can transform a system or an environment for the benefit of people and the planet. The integration of sensors and smart devices should promote energy efficiency and ensure that sustainable development goals are met. This work is carried out according to a mixed approach, with a literature review and an analysis of the impact of the Sustainable Development Goals on the applications of the Internet of Things and smart systems. In the analysis of results, the following questions are answered about these systems and applications: (a) Are IoT applications key to the improvement of people’s health and the environment? (b) Are there research and case studies implemented in cities or territories that demonstrate the effectiveness of IoT applications and their benefits to public health? (c) What sustainable development indicators and objectives can be assessed in the applications and projects analyzed?
Ángeles Verdejo Espinosa; José Lopez Ruiz; Francisco Mata Mata; Macarena Estevez. Application of IoT in Healthcare: Keys to Implementation of the Sustainable Development Goals. Sensors 2021, 21, 2330 .
AMA StyleÁngeles Verdejo Espinosa, José Lopez Ruiz, Francisco Mata Mata, Macarena Estevez. Application of IoT in Healthcare: Keys to Implementation of the Sustainable Development Goals. Sensors. 2021; 21 (7):2330.
Chicago/Turabian StyleÁngeles Verdejo Espinosa; José Lopez Ruiz; Francisco Mata Mata; Macarena Estevez. 2021. "Application of IoT in Healthcare: Keys to Implementation of the Sustainable Development Goals." Sensors 21, no. 7: 2330.
The integral management of facilities located in the subsoil or hidden in walls and ceilings entails numerous challenges in terms of accurate positioning and data update.We describe the characteristics of the information system designed to act in the life cycle of facilities networks.We focus on the data model design, whose core connects topologically the 3D geometric objects representing facilities components. This scheme enables CRUD (Create, Read, Update, Delete) operations directly on the 3D objects of the digital reality, and through desktop or mobile devices. The system is implemented in a client-server architecture. The server maintains the complete topological data model in a spatial database. This model is redesigned and replicated in the memory of any client device with graphical capabilities. Conventional computers can enable Virtual Reality, while mobile devices can access ubiquitously surrounding facilities through Augmented Reality. In addition, the design of a third data model allows the exchange of this information using a standard format such as CityGML. Current facilities networks have been used to test the CRUD operations functionality.
Lidia M. Ortega; Juan M. Jurado; Jose Luis Lopez Ruiz; Francisco R. Feito. Topological Data Models for Virtual Management of Hidden Facilities Through Digital Reality. IEEE Access 2020, 8, 62584 -62600.
AMA StyleLidia M. Ortega, Juan M. Jurado, Jose Luis Lopez Ruiz, Francisco R. Feito. Topological Data Models for Virtual Management of Hidden Facilities Through Digital Reality. IEEE Access. 2020; 8 (99):62584-62600.
Chicago/Turabian StyleLidia M. Ortega; Juan M. Jurado; Jose Luis Lopez Ruiz; Francisco R. Feito. 2020. "Topological Data Models for Virtual Management of Hidden Facilities Through Digital Reality." IEEE Access 8, no. 99: 62584-62600.