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IEEE/ICACT20220120 Slide.08        [Big Slide]	Oral Presentation
	In this paper, we propose a method to use RF classifier with PSO strategy to improve fall detection performance. We use the input parameters for the PSO algorithm, which are: P (Bag size percent) I (num Iterations) Num-slot (num Execution Slots) K (num Features) The objective function, we focus on the F-measure weights of fall activities (A01-Forward using hands, A02-Forward using knees, A03-Backward, A04-Sideward, and A05-Attempting to sit in an empty chair) to build a parameter optimization algorithm for RF classifiers.

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