An intelligent RFID fall notification system

Yeong-Lin Lai, Chih Cheng Chen

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

In this paper, we present an intelligent fall notification system using radio frequency identification (RFID) technology integrated with wireless sensor networks. The intelligent RFID fall notification system provides real-time monitoring and identification features for the elderly either at home or in nursing facilities. Once the fall accidents happen, the medical personnel or the users' family are informed through the system so that they can take immediate action and seek adequate emergency care. We adopt dual-hand RFID protocols in the system, in which the high-frequency (HF) hand of 13.56 MHz is for the identification of personnel and the microwave hand of 2.45 GHz for fall detection, emergency voice communication and temperature sensing. The multi-functions of personal identification, fall detection, voice communication and temperature sensing are achieved by the intelligent fall notification system through the integration of RFID platform and wireless sensor networks.

Original languageEnglish
Pages (from-to)3133-3145
Number of pages13
JournalInternational Journal of Innovative Computing, Information and Control
Volume7
Issue number6
Publication statusPublished - 2011 Jun 1

Fingerprint

Radio Frequency Identification
Radio frequency identification (RFID)
Speech communication
Emergency
Wireless Sensor Networks
Wireless sensor networks
Sensing
Personnel
Nursing
Real time systems
System Identification
Accidents
Microwave
Microwaves
Monitoring
Real-time
Network protocols
Temperature
Communication
Voice

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

Cite this

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An intelligent RFID fall notification system. / Lai, Yeong-Lin; Chen, Chih Cheng.

In: International Journal of Innovative Computing, Information and Control, Vol. 7, No. 6, 01.06.2011, p. 3133-3145.

Research output: Contribution to journalArticle

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