Flexible RFID location system based on artificial neural networks for medical care facilities

Authors:
Hao-Ju Wu;Yi-Hsin Chang;Min-Shiang Hwang;Iuon-Chang Lin
Affiliations:
National Chung Hsing University, Taichung, Taiwan;National Chung Hsing University, Taichung, Taiwan;National Chung Hsing University, Taichung, Taiwan;National Chung Hsing University, Taichung, Taiwan
Venue:
ACM SIGBED Review - Special Issue on the 2nd Joint Workshop on High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability
Year:
2009

Citing 2
Cited 0

LANDMARC: indoor location sensing using active RFID

Wireless Networks - Special issue: Pervasive computing and communications
An Indoor Localization Mechanism Using Active RFID Tag

SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01

Quantified Score

Hi-index	0.00

Visualization

Abstract

RFID location systems are often used in real-time location systems that come up with the problems like multipath phenomenon and layout changing. These make locating difficult because most of the location systems are based on fixed mathematical calculation that cannot take these situations into account. Using artificial neural network, our location scheme can learn the geography features to adapt to the real world. It could avoid multipath phenomenon effect and be flexibly applied to any environment. The experimental processes and result are shown in the end of the paper.