Protection and Inheritance Strategy of She Traditional Sports Skills Based on Pattern Recognition

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Comparison of accuracy of the classification data set of the method

Categories	ST-GCN	2s-AGCN	DGNN	FenceNet	DLSTM-GCN
SL-R	0.38	0.58	0.45	0.72	0.81
SL-L	0.53	0.7	0.54	0.75	0.84
SJ-R	0.38	0.39	0.2	0.2	0.82
SJ-L	0.68	0.77	0.58	0.79	0.89
SW-R	0.44	0.6	0.79	0.66	0.85
SW-L	0.63	0.77	0.82	0.71	0.97
FH-R	0.38	0.58	0.72	0.87	0.96
FH-L	0.55	0.89	0.83	0.76	0.88
UC-R	0.44	0.83	0.71	0.77	0.76
UC-L	0.37	0.55	0.64	0.77	0.97

Other algorithms compare results

Model name	Accuracy rate(%)
Lie Group	52.5
ARRN-LSTM	83.6
3scale ResNet152	87.7
ST-GCN	81.5
Pb-GCN	89.2
DGNN	91.2
DLSTM-GCN	90.1

Comparison of experimental accuracy of action classification data set

Categories	ST-GCN	2s-AGCN	DGNN	FenceNet	DLSTM-GCN
SL-R	0.38	0.58	0.45	0.72	0.71
SL-L	SL-R	0.12	0.41	0.68	0.39
SJ-R	SL-L	0.53	0.8	0.87	0.83
SJ-L	SJ-R	0.88	0.89	0.87	0.87
SW-R	SJ-L	0.78	0.89	0.87	0.87
SW-L	SW-R	0.46	0.54	0.29	0.74
FH-R	SW-L	0.66	0.85	0.78	0.83
FH-L	FH-R	0.45	0.75	0.68	0.68
UC-R	FH-L	0.42	0.73	0.52	0.71
UC-L	UC-R	0.24	0.5	0.62	0.87
Top 1(%)	67.75	84.57	76.67	82.76	93.45
Top 5(%)	97	100	98.15	99.51	100

Comparison of experimental results based on action capture

Model name	Top 1(%)	Top 5(%)
ST-GCN	52.11	95.76
2s-AGCN	53.47	94.21
DLSTM-GCN	63.55	98.76

The accuracy of various interpolation algorithms is compared

Interpolation algorithm	Mean error		Error mean square root
	k=2	k=5	k=2	k=5
2 times neville	0.0781	0.4612	0.1338	0.6353
4 times neville	0.0413	0.3184	0.0689	0.4474
8 times neville	0.0391	0.3011	0.0628	0.4123
Linear interpolation	0.0781	8.0278	0.1338	9.7477