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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 |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 37 |
| Year of Publication: 2021 |
| Authors: Doris-Khöler Nyabeye Pangop, Elie Tagne Fute, Emmanuel Tonye |
10.5120/ijais2021451910
|
Doris-Khöler Nyabeye Pangop, Elie Tagne Fute, 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 ( June 2021), 29-35. DOI=10.5120/ijais2021451910
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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