Multisensor Intelligent Fall Perception Algorithm considering Precise Classification of Human Behavior Characteristics

Table 2

Comparison of perceived efficiency of falls.

Number of experiments/time	Fall motion perception time/s
	A method of human fall perception based on SECNN	A highly robust human motion perception model based on WiFi signals	Method in this paper
1	1.52	1.60	0.56
2	1.87	1.89	0.69
3	2.01	2.03	0.72
4	2.23	2.17	0.80
5	2.51	2.45	1.02
6	2.69	2.55	1.13
Average value	2.138	2.115	0.82