UJAmI Location: A Fuzzy Indoor Location System for the Elderly

Author:

Albín-Rodríguez Antonio-PedroORCID,De-La-Fuente-Robles Yolanda-MaríaORCID,López-Ruiz José-LuisORCID,Verdejo-Espinosa ÁngelesORCID,Espinilla Estévez MacarenaORCID

Abstract

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.

Funder

H2020 Marie Skłodowska-Curie Actions

Universidad de Jaén

Spanish Government

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference58 articles.

1. World Population Ageing 2020 Highlights: Living Arrangements of Older Personshttps://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/undesa_pd-2020_world_population_ageing_highlights.pdf

2. The Risk for Fall and Functional Dependence in Polish Adults 60–87 Years Old;Domaradzki;Coll. Antropol.,2017

3. Evolution of Indoor Positioning Technologies: A Survey

4. The Smart Fall Detection Mechanism for Healthcare Under Free-Living Conditions

5. Human activity monitoring based on indoor map positioning

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models;Multimedia Tools and Applications;2024-08-27

2. Federated Learning Methodology for Indoor Location Systems in Multi-Layer Architecture;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Wearable-Based System For The Ubiquitous Tracking Of Vulnerable People In Remote Areas;2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT);2023-10-30

4. Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets;Computers;2023-09-23

5. OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems;JUCS - Journal of Universal Computer Science;2023-06-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3