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Bioelectric Potentials of Plant for Determining Human Positions
Imam Tahyudin and Hidetaka Nambo
(Received December 31, 2017; Accepted February 20, 2018)
Keywords: natural sensor, bioelectric potential plant, position estimation, MOPAR
The use of plants as biological monitors to detect human behavior is very interesting to investigate. One benefit is to know the position of elderly people living alone in a house in order to avoid accidents resulting in death because help is not immediate. This study uses an association analysis with the particle swarm optimization approach. This method is called MOPAR, multi-objective of particle swarm optimization for numerical association rule mining. Real data sets of the bioelectric potentials of plants were used to obtain rules and to examine the accuracy of the method. This method shows promising results.
Corresponding author: Hidetaka Nambo
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