Title
Smart Campus IoT Guidance System for Visitors Based on Bayesian Filters
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Aspilcueta Narvaez, Alvaro
Gamarra Quispe, Segundo
Lazo Ochoa, Domingo
Publisher(s)
Springer Nature
Abstract
In this work, we proposed an indoor location system that makes use of a Raspberry Pi embedded computer and WiFi signals to guide a person inside a region of the faculty of Electrical and Electronic at Universidad Nacional de Ingeniería, Peru. The main advantage with similar indoor location systems like beacons or RFID technology is that the presented system does not require additional hardware since it makes use of the pre-installed WiFi routers. The experimental tests show promising results, achieving a location accuracy of 92.31%.
Start page
463
End page
472
Volume
202
Language
English
OCDE Knowledge area
Sistemas de automatización, Sistemas de control
Subjects
Scopus EID
2-s2.0-85098152090
Source
Smart Innovation, Systems and Technologies
Resource of which it is part
Smart Innovation, Systems and Technologies
ISSN of the container
21903018
ISBN of the container
9783030575656
Conference
5th Brazilian Technology Symposium, BTSym 2019 Campinas 22 October 2019 through 24 October 2019
Sources of information:
Directorio de Producción Científica
Scopus