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IEEE/ICACT20220120 Question.3
Questioner: tomayoon@ieee.org    2022-02-15 ¿ÀÈÄ 12:10:32
IEEE/ICACT20220120 Answer.3
Answer by Auhor lehonglam@vnu.edu.vn   2022-02-15 ¿ÀÈÄ 12:10:32
Will you tell us what is the major achievement of this paper, and also what is further study issue from this? Thanks in advance!! In this paper, we proposed a novel method for improving classifiers using Particle Swarm Optimization to deal with wearable sensor data. The wearable sensor data was preprocessed and transformed into Time, Frequency, and Hjorth domains, and then, the PSO optimization algorithm has been applied to find the optimal set of parameters for the RF algorithm to improve its detection rate. In the future, we will expand our research towards building a feature set from many sensors to improve and enhance the stability of the fall detection system.

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