Table 5.

Comparison of results (accuracies in %) obtained by the different optimization algorithms (OAs) for feature selection (FS) in our DSwarm-Net model and that obtained without any FS, by end-to-end CNN model.

OAs	UTD-MHAD	NTU RGB+D 60		HDM05
		Cross subject	Cross view
Without FS	89.34	79.19	80.63	81.53
MVO56	96.26	84.67	89.16	90.41
PSO57	96.47	83.85	87.58	88.56
BAT58	95.74	84.01	88.52	87.42
GWO59	95.63	84.43	87.51	88.13
WOA60	95.26	84.22	88.13	86.87
FFA61	95.84	84.11	87.98	86.55
MFO62	95.53	83.89	89.51	89.93
ALO	98.13	85.45	89.98	90.67