Designing Positioning Coordinates of Powered Wheelchairs with Radio Frequency Identification

Abstract

We combine radio frequency identification (RFID) and the Quantum Geographic Information System (QGIS) to develop a positioning and warning system for powered wheelchairs rented for activities within a specific area. First, we begin with the use of Arduino to drive ultrahighfrequency (UHF) RFID to read an Electronic Product Code (EPC) tag and take the information of the tag to design an area boundary detection warning function for powered wheelchairs in use. Because the Global Positioning System (GPS) takes more time to start and is greatly affected by the weather and location, we use the relative position of the powered wheelchair to design the positioning system instead of the GPS chip positioning system. By combining the coordinate map of the active area designed by Python and the QGIS, the current position of the wheelchair relative to the point where it was rented is calculated. Finally, the Arduino and QGIS programs are integrated through Python to establish the positioning coordinate system of the powered wheelchair with RFID identification.