Departamento de Informática
URI permanente para esta comunidadhttps://hdl.handle.net/10953/35
En esta Comunidad se recogen los documentos generados por el Departamento de Informática y que cumplen los requisitos de Copyright para su difusión en acceso abierto.
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Examinando Departamento de Informática por Autor "Albín-Rodríguez, Antonio Pedro"
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Ítem Indoor Area Location System Using UWB Technology and Axis-Linear Bounding Boxes(IEEE Access, 2024) López-Ruiz, José Luis; Jiménez-Villar, José María; Albín-Rodríguez, Antonio Pedro; Espinilla-Estevez, MacarenaDue to the need of determining the localization of elderly people in indoor spaces to detect their habits and potential anomalies in their behaviour, there is a need to manage the lack of real intelligent systems capable of calculating the area localization of a person within an enclosed space. This paper proposes an architecture that uses the commercial DWM1001 system from Decawave and a Raspberry Pi, employing Ultra Wideband technology and a proposed method based on axisaligned bounding boxes to obtain the area localization where the person is. An experimentation with this system was deployed in a six-room apartment to show its effectiveness, achieving an accuracy rate exceeding 85%. Furthermore, the paper also discusses the extension of the proposed method with evolutionary algorithms. Finally, our proposal is complemented by a mobile application designed to collect and manage information from the localization sessions carried out by a person testing the system in the apartment.Ítem Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus(MDPI, 2022-11-08) de la Fuente, Yolanda María; Ricoy, Adrián Jesús; Albín-Rodríguez, Antonio Pedro; López-Ruiz, José Luis; Espinilla-Estévez, MacarenaCurrently, wearable technology is present in different fields that aim to satisfy our needs 13 in daily life, including the improvement of our health in general, the monitoring of patient health, 14 ensuring the safety of people in the workplace or supporting athlete training. The objective of this 15 bibliometric analysis is to examine and map the scientific advances in wearable technologies in 16 healthcare, as well as to identify future challenges within this field and put forward some proposals 17 to address them. In order to achieve this objective, a search of the most recent related literature was 18 carried out in the Scopus database. Our results show that the research can be divided into two peri- 19 ods: before 2013, it focused on design and development of sensors and wearable systems from an 20 engineering perspective and, since 2013, it has focused on the application of this technology to mon- 21 itoring health and well-being in general, and in alignment with the Sustainable Development Goals 22 wherever feasible. Our results reveal that the United States has been the country with the highest 23 publication rates, with 208 articles (34.7%). The University of California, Los Angeles, is the institu- 24 tion with the most studies on this topic, 19 (3.1%). Sensors journal (Switzerland) is the platform with 25 the most studies on the subject, 51 (8.5%), and has one of the highest citation rates, 1461. We put 26 forward an analysis of keywords and, more specifically, a pennant chart and a timeline plot to illus- 27 trate the trends in this field of research, prioritizing the area of data collection through wearable 28 sensors, smart clothing and other forms of discrete collection of physiological data.Ítem UJAmI Location: A Fuzzy Indoor Location System for the Elderly(MDPI, 2021-08-06) Albín-Rodríguez, Antonio Pedro; De La Fuente, Yolanda María; López-Ruiz, José Luis; Verdejo, ÁngelesEn este trabajo se resume la propuesta titulada “UJAmI Location: A Fuzzy Indoor Location System for the Elderly” que presenta una metodología de localización difusa en interiores basada en el uso de términos lingüísticos difusos y ventanas temporales difusas para gestionar las fluctuaciones de las balizas BLE y la señal recibida por un dispositivo vestible o móvil. La metodología propuesta es validada a través de un caso de estudio, obteniendo una precisión mayor del 90% y superando en 10 puntos al procesamiento no difuso. Finalmente, es presentado el sistema de localización de interiores denominado UJAmI Location que integra dicha metodología.