Real-time tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes
In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e., equipment, robot, or human) using RSSI signals measured from...
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creator | Booranawong, Apidet Thammachote, Peeradon Sasiwat, Yoschanin Auysakul, Jutamanee Sengchuai, Kiattisak Buranapanichkit, Dujdow Tanthanuch, Sawit Jindapetch, Nattha Saito, Hiroshi |
description | In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e., equipment, robot, or human) using RSSI signals measured from two stationary reference nodes located at the different sides of the corridor are proposed. A filter with its optimal weight value is also applied to smoothen and increase the accuracy of estimated position results (i.e., the x-position in the corridor). Additionally, a determination approach for finding the optimal parameters assigned for the proposed tracking methods and the filter are also introduced. The proposed methods are implemented in MATLAB/Simulink, and experiments using a 2.4 GHz, IEEE 802.15.4/ZigBee wireless network have been carried out in the indoor corridor of the hospital building. Experimental results obtained from the corridor size of 22 m demonstrate that our proposed methods can automatically and efficiently track the moving target in real time. The average distance errors, in the case of varying and manual tuning the optimal parameters of the proposed methods and the filter, reduce from 5.14 to 1.01 m and 4.55 to 0.86 m (i.e., two test cases; slow moving speed and double moving speed). Here, the errors decrease by 80.35% and 81.10%, respectively. For the case using the optimal parameters determined by the optimization approach, the average errors can reduce to 0.97 m for the first test case and 0.78 m for the second test case, respectively.
Graphical abstract
An RSSI-based real-time tracking system for a moving target in an indoor corridor of the hospital building |
doi_str_mv | 10.1007/s11517-021-02489-6 |
format | Article |
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Graphical abstract
An RSSI-based real-time tracking system for a moving target in an indoor corridor of the hospital building</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-021-02489-6</identifier><identifier>PMID: 34993692</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Computer Applications ; Computer Systems ; Errors ; Hospitals ; Human Physiology ; Humans ; Imaging ; Indoor environments ; Moving targets ; Nodes ; Optimization ; Original ; Original Article ; Parameters ; Radiology ; Real time ; Signal strength ; Tracking systems ; Wireless networks</subject><ispartof>Medical & biological engineering & computing, 2022-02, Vol.60 (2), p.439-458</ispartof><rights>International Federation for Medical and Biological Engineering 2022</rights><rights>2022. International Federation for Medical and Biological Engineering.</rights><rights>International Federation for Medical and Biological Engineering 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-583f3193cad516bd868a1ca9c4b3f6cdffd15d12b4b04537cd7827fdff60ee5c3</citedby><cites>FETCH-LOGICAL-c474t-583f3193cad516bd868a1ca9c4b3f6cdffd15d12b4b04537cd7827fdff60ee5c3</cites><orcidid>0000-0002-5346-1594</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11517-021-02489-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-021-02489-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34993692$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Booranawong, Apidet</creatorcontrib><creatorcontrib>Thammachote, Peeradon</creatorcontrib><creatorcontrib>Sasiwat, Yoschanin</creatorcontrib><creatorcontrib>Auysakul, Jutamanee</creatorcontrib><creatorcontrib>Sengchuai, Kiattisak</creatorcontrib><creatorcontrib>Buranapanichkit, Dujdow</creatorcontrib><creatorcontrib>Tanthanuch, Sawit</creatorcontrib><creatorcontrib>Jindapetch, Nattha</creatorcontrib><creatorcontrib>Saito, Hiroshi</creatorcontrib><title>Real-time tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><addtitle>Med Biol Eng Comput</addtitle><description>In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e., equipment, robot, or human) using RSSI signals measured from two stationary reference nodes located at the different sides of the corridor are proposed. A filter with its optimal weight value is also applied to smoothen and increase the accuracy of estimated position results (i.e., the x-position in the corridor). Additionally, a determination approach for finding the optimal parameters assigned for the proposed tracking methods and the filter are also introduced. The proposed methods are implemented in MATLAB/Simulink, and experiments using a 2.4 GHz, IEEE 802.15.4/ZigBee wireless network have been carried out in the indoor corridor of the hospital building. Experimental results obtained from the corridor size of 22 m demonstrate that our proposed methods can automatically and efficiently track the moving target in real time. The average distance errors, in the case of varying and manual tuning the optimal parameters of the proposed methods and the filter, reduce from 5.14 to 1.01 m and 4.55 to 0.86 m (i.e., two test cases; slow moving speed and double moving speed). Here, the errors decrease by 80.35% and 81.10%, respectively. For the case using the optimal parameters determined by the optimization approach, the average errors can reduce to 0.97 m for the first test case and 0.78 m for the second test case, respectively.
Graphical abstract
An RSSI-based real-time tracking system for a moving target in an indoor corridor of the hospital building</description><subject>Algorithms</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Computer Applications</subject><subject>Computer Systems</subject><subject>Errors</subject><subject>Hospitals</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Indoor environments</subject><subject>Moving targets</subject><subject>Nodes</subject><subject>Optimization</subject><subject>Original</subject><subject>Original Article</subject><subject>Parameters</subject><subject>Radiology</subject><subject>Real time</subject><subject>Signal strength</subject><subject>Tracking systems</subject><subject>Wireless 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tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes</title><author>Booranawong, Apidet ; Thammachote, Peeradon ; Sasiwat, Yoschanin ; Auysakul, Jutamanee ; Sengchuai, Kiattisak ; Buranapanichkit, Dujdow ; Tanthanuch, Sawit ; Jindapetch, Nattha ; Saito, Hiroshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-583f3193cad516bd868a1ca9c4b3f6cdffd15d12b4b04537cd7827fdff60ee5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Computer Applications</topic><topic>Computer Systems</topic><topic>Errors</topic><topic>Hospitals</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Indoor environments</topic><topic>Moving 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biological engineering & computing</jtitle><stitle>Med Biol Eng Comput</stitle><addtitle>Med Biol Eng Comput</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>60</volume><issue>2</issue><spage>439</spage><epage>458</epage><pages>439-458</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e., equipment, robot, or human) using RSSI signals measured from two stationary reference nodes located at the different sides of the corridor are proposed. A filter with its optimal weight value is also applied to smoothen and increase the accuracy of estimated position results (i.e., the x-position in the corridor). Additionally, a determination approach for finding the optimal parameters assigned for the proposed tracking methods and the filter are also introduced. The proposed methods are implemented in MATLAB/Simulink, and experiments using a 2.4 GHz, IEEE 802.15.4/ZigBee wireless network have been carried out in the indoor corridor of the hospital building. Experimental results obtained from the corridor size of 22 m demonstrate that our proposed methods can automatically and efficiently track the moving target in real time. The average distance errors, in the case of varying and manual tuning the optimal parameters of the proposed methods and the filter, reduce from 5.14 to 1.01 m and 4.55 to 0.86 m (i.e., two test cases; slow moving speed and double moving speed). Here, the errors decrease by 80.35% and 81.10%, respectively. For the case using the optimal parameters determined by the optimization approach, the average errors can reduce to 0.97 m for the first test case and 0.78 m for the second test case, respectively.
Graphical abstract
An RSSI-based real-time tracking system for a moving target in an indoor corridor of the hospital building</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34993692</pmid><doi>10.1007/s11517-021-02489-6</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-5346-1594</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Computer Applications Computer Systems Errors Hospitals Human Physiology Humans Imaging Indoor environments Moving targets Nodes Optimization Original Original Article Parameters Radiology Real time Signal strength Tracking systems Wireless networks |
title | Real-time tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes |
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