Lightweight Fall Detection Algorithm Based on AlphaPose Optimization Model and ST-GCN

Table 8

Comparison of different fall detection algorithms.

Algorithm type	Dataset	Accuracy (%)	Precision (%)	Sensitivity (%)	Specificity (%)	F-score	FPS
Wang et al. [33]	Le2i fall	96.91	97.65	96.51	97.37	97.08	—
Chamle et al. [35]	Le2i fall	79.31	79.41	83.47	73.07	81.39
Our method	Le2i fall	96.86	97.01	96.71	96.81	96.77	8.33
Wang et al. [33]	UR fall	97.33	97.78	97.78	96.67	97.78	—
Harrou et al. [34]	UR fall	96.66	94	100	94.93	96.91	—
Our method	UR fall	97.28	97.15	97.43	97.30	97.29	8.33