[Retracted] Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network

Table 1

Detection results of body behavior feature detection model application.

Fatigue level	Project	Volunteer 1	Volunteer 2	Volunteer 3	Volunteer 4
Relaxed	Accuracy	0.8756	0.8564	0.8725	0.8375
	Recall	0.8631	0.8731	0.8675	0.8562
	F-score	0.8697	0.8629	0.8743	0.8655
Moderate	Accuracy	0.8347	0.8851	0.8631	0.8954
	Recall	0.8531	0.8792	0.8413	0.8435
	F-score	0.8326	0.8811	0.8520	0.8943
Severe	Accuracy	0.8463	0.8639	0.8721	0.8647
	Recall	0.8631	0.8413	0.8952	0.8469
	F-score	0.8623	0.8234	0.8461	0.8454
Extreme	Accuracy	0.8643	0.8974	0.8746	0.8505
	Recall	0.8465	0.8746	0.8518	0.8635
	F-score	0.8461	0.8415	0.8484	0.8849