RFID RSS Fingerprinting System for Wearable Human Activity Recognition

Autor:	Ali Alabdullah, Raed A. Abd-Alhameed, H. A. Obeidat, M. S. Bin-Melha, Rameez Asif, George Oguntala, Chakib Kara-Zaitri, Wafa Shuaieb
Rok vydání:	2020
Předmět:	human activity recognition Computer Networks and Communications Computer science RSS Patient Tracking Real-time computing Wearable computer patient tracking indoor ocalization 02 engineering and technology Set (abstract data type) Activity recognition Position (vector) 0202 electrical engineering electronic engineering information engineering Radio-frequency identification rfid lcsh:T58.5-58.64 lcsh:Information technology business.industry 020206 networking & telecommunications computer.file_format Euclidean distance fingerprinting 020201 artificial intelligence & image processing business computer indoor localisation
Zdroj:	Future Internet, Vol 12, Iss 2, p 33 (2020) Future Internet Volume 12 Issue 2
ISSN:	1999-5903
DOI:	10.3390/fi12020033
Popis:	Alternative healthcare solutions have been identified as a viable approach to ameliorate the increasing demand for telehealth and prompt healthcare delivery. Moreover, indoor ocalization using different technologies and approaches have greatly contributed to alternative healthcare solutions. In this paper, a cost-effective, radio frequency identification (RFID)-based indoor location system that employs received signal strength (RSS) information of passive RFID tags is presented. The proposed system uses RFID tags placed at different positions on the target body. The mapping of the analysed data against a set of reference position datasets is used to accurately track the vertical and horizontal positioning of a patient within a confined space in real-time. The Euclidean distance model achieves an accuracy of 98% for all sampled activities. However, the accuracy of the activity recognition algorithm performs below the threshold performance for walking and standing, which is due to similarities in the target height, weight and body density for both activities. The obtained results from the proposed system indicate significant potentials to provide reliable health measurement tool for patients at risk.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2183a9abd55e8c42a8ca3f8f2a16f533 https://doi.org/10.3390/fi12020033 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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