Adaptive RFID Indoor Positioning Technology for Wheelchair Home Health Care Robot

Abstract:

In this paper, we propose an adaptive radio frequency identification (RFID) indoor positioning system technology for wheelchair home health care robot with wireless communication. The proposed RFID positioning system uses one reader and four tags which is low cost when applying in a large space of the indoor environment. It reduces the measured calculation by using multiple RFID tags instead of multiple RFID readers. While the measured experimental RFID data found with error leading to signal changes in different environmental parameters, we developed the adaptive fuzzy neural network technology to adjust the measurement data. Through the compensation of the measurement error, the actual wheelchair robot location-based application could be performed to overcome the uncertain environmental parameters. The positioning system provides very good accuracy and make home health care wheelchair robot positioning system available for navigation and guidance.

• Periodical: Applied Mechanics and Materials (Volume 145)
• Pages: 583-587
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.145.583
• Online since: December 2011
• Authors: Y.J. Huang, B.W. Hong, P. C. Wu, W. C. Chen
• Keywords: Fuzzy Neural Network (FNN), Indoor Positioning, Radio Frequency Identification (RFID), RSSI, Wheelchair Robot

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