RFID RSS Fingerprinting System for Wearable Human Activity Recognition
| العنوان: | RFID RSS Fingerprinting System for Wearable Human Activity Recognition |
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| المؤلفون: | Ali Alabdullah, Raed A. Abd-Alhameed, H. A. Obeidat, M. S. Bin-Melha, Rameez Asif, George Oguntala, Chakib Kara-Zaitri, Wafa Shuaieb |
| المصدر: | Future Internet, Vol 12, Iss 2, p 33 (2020) Future Internet Volume 12 Issue 2 |
| بيانات النشر: | MDPI AG, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 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 |
| الوصف: | 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. |
| وصف الملف: | application/pdf |
| تدمد: | 1999-5903 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2183a9abd55e8c42a8ca3f8f2a16f533Test https://doi.org/10.3390/fi12020033Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....2183a9abd55e8c42a8ca3f8f2a16f533 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19995903 |
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