UWB/BLE Tracking System for Elderly People Monitoring

Jerzy Kołakowski , Vitomir Djaja-Jośko , Marcin Kołakowski , Katarzyna Broczek


Localization systems are the source of data that allows to evaluate elderly person’s behaviour, to draw conclusions concerning his or her health status and wellbeing, and to detect emergency situations. The article contains a description of a system intended for elderly people tracking. Two novel solutions have been implemented in the system: a hybrid localization algorithm and a method for wireless anchor nodes synchronization. The algorithm fuses results of time difference of arrival and received signal strength measurements in ultrawideband (UWB) and Bluetooth Low Energy (BLE) radio interfaces, respectively. The system allows to change the intensity of UWB packets transmission to adapt localization accuracy and energy usage to current needs and applications. In order to simplify the system installation, communication between elements of the system infrastructure instead of wire interfaces is performed over wireless ones. The new wireless synchronization method proposed in the article consists in retransmission of UWB synchronization packets by selected anchor nodes. It allows for extension of the system coverage, which is limited by the short range of UWB transmission. The proposed solution was experimentally verified. The synchronization method was tested in a laboratory, and the whole system’s performance was investigated in a typical flat. Exemplary results of the tests performed with older adult participation in their own homes are also included.
Author Jerzy Kołakowski (FEIT / IRMT)
Jerzy Kołakowski,,
- The Institute of Radioelectronics and Multimedia Technology
, Vitomir Djaja-Jośko (FEIT / IRMT)
Vitomir Djaja-Jośko,,
- The Institute of Radioelectronics and Multimedia Technology
, Marcin Kołakowski (FEIT / IRMT)
Marcin Kołakowski,,
- The Institute of Radioelectronics and Multimedia Technology
, Katarzyna Broczek (FEIT / IRMT)
Katarzyna Broczek,,
- The Institute of Radioelectronics and Multimedia Technology
Journal seriesSensors, [SENSORS-BASEL], ISSN 1424-8220, e-ISSN 1424-3210
Issue year2020
Publication size in sheets1.05
ASJC Classification1303 Biochemistry; 1602 Analytical Chemistry; 2208 Electrical and Electronic Engineering; 3107 Atomic and Molecular Physics, and Optics
Languageen angielski
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 18-09-2020, ArticleFromJournal
Publication indicators GS Citations = 2.0; Scopus Citations = 1; WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.393; WoS Impact Factor: 2018 = 3.031 (2) - 2018=3.302 (5)
Citation count*2 (2020-09-04)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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