Abstract
Periodic activity monitoring, a pivotal intention in various applications, is consistently exorbitant guided using cameras. Monitoring an enormous field successfully by investigating pictures from various cameras dependably remains a testing issue. In this paper, we propose an effective and proficient algorithm for retrieving periodic movement patterns from the frequent region and accuracy calculation, where RF tag arrays and data mining systems play out a sensitive role. The RFID has drawn agent eagerness late years for its negligible exertion, general openness, and area identifying convenience. Another ideal position of RFID is that it does not require facilitate contact or recognizable pathway monitoring of objects. The practicality and the efficiencies of this proposal will be verified by our experimental utilizing both synthetic datasets and real RFID datasets.
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https://sites.google.com/site/sajalhalder/research/suarw. Accessed 05 Aug 2017
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Amirul Islam, M., Acharjee, U.K. (2020). Mining Periodic Patterns and Accuracy Calculation for Activity Monitoring Using RF Tag Arrays. In: Uddin, M., Bansal, J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_8
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DOI: https://doi.org/10.1007/978-981-13-7564-4_8
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