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January Edition 2022

International Journal of Applied Information Systems solicits high quality original research papers for the January 2022 Edition of the journal. The last date of research paper submission is December 15, 2021.

An Approach to Self-Locate Patients in a Psychiatric Center based on Received Signal Strength Indicator and Sensor Information History

Doris-Khöler Nyabeye Pangop, Elie Tagne Fute, Emmanuel Tonye in Information Systems

International Journal of Applied Information Systems
Year of Publication:2021
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Doris-Khöler Nyabeye Pangop, Elie Tagne Fute, Emmanuel Tonye
10.5120/ijais2021451910
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  1. Doris-Khöler Nyabeye Pangop, Elie Tagne Fute and Emmanuel Tonye. An Approach to Self-Locate Patients in a Psychiatric Center based on Received Signal Strength Indicator and Sensor Information History. International Journal of Applied Information Systems 12(37):29-35, June 2021. URL, DOI BibTeX

    @article{10.5120/ijais2021451910,
    	author = "Doris-Khöler Nyabeye Pangop and Elie Tagne Fute and Emmanuel Tonye",
    	title = "An Approach to Self-Locate Patients in a Psychiatric Center based on Received Signal Strength Indicator and Sensor Information History",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "June 2021",
    	volume = 12,
    	number = 37,
    	month = "June",
    	year = 2021,
    	issn = "2249-0868",
    	pages = "29-35",
    	url = "http://www.ijais.org/archives/volume12/number37/1118-2021451910",
    	doi = "10.5120/ijais2021451910",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

In recent years, research around sensor networks has made significant progress. Increasingly, sensor networks are more present at almost every level of daily life. An interesting application of these, is their use for the localization of mobile entities such as animals, vehicles, humans, etc. In this work, the interest is focused on the localization of patients in a psychiatric center. Most of the work around the location of mobile entities is based on models for planning or predicting the trajectory of the mobile entity. However, for humans, even more psychiatric patients, it is difficult if not almost impossible to predict or plan their displacement successfully. It is in this context that the present workoffers this simple and effective indoor localization approach, which is based on the received signal strength indicator and the history of the mobile sensor's journey, to determine its position. In this technique, patients wear sensors without GPS on their arm. It is these sensors that will locate patients in the center in real time. The implementation and simulation of this approach made it possible to validate its effectiveness in terms of accuracy and localization time.

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Keywords

Indoor localization, Mobile sensor networks, Received signal strength indicator, Information history, Accuracy