Periodic Activity Monitoring Using Radio Frequency Tag Arrays

Periodic activity monitoring, a fateful motive in numerous applications, is regularly costly guided utilizing cameras. Monitoring a massive field effectively by exploring pictures from numerous cameras always remains a testing issue. In this paper, we propose an effective and efficient algorithm for retrieving periodic movement patterns or activities from the frequent region, where RF tag arrays and data mining techniques perform a delicate role. The objects take after similar routes over customary time interims. The RFID has drawn operative intentness late years for its minimal effort, general accessibility and location detecting usefulness. Another favorable position of RFID is that it doesn't require coordinate contact or observable pathway checking of objects. The feasibility and the efficiencies of this proposal will be verified by our experimental evaluation using both synthetic datasets real RFID datasets.