Optimization of Wushu Sanshou Technical Movement Recognition and Training Based on Machine Learning Algorithm

Figure 1.

The initial parameter Settings of the action recognition model of martial arts

Parameter	Set value
Learning strategy	Step
Initial learning rate	0.00001
Batch size	6
Optimizer	Adam
Iteration number	500

The center of the pressure center is the maximum offset (cm)

			Experimental group	Control group	p
Intergroup comparison	Pretraining	3.26 ± 0.75	3.34 ± 1.23	0.211
	After training	3.75 ± 0.31	3.52 ±0.68	0.034

The maximum offset in the direction of the pressure center (cm)

		Experimental group	Control group	p
Intergroup comparison	Pretraining	10.21 ± 5.63	11.04 ± 4.57	0.334
	After training	13.58 ± 3.17	12.55 ± 3.24	0.025

The vertical direction is compared to the stable time group(msec)

		Experimental group	Control group	p
Intergroup comparison	Pretraining	796.65 ± 163.21	623.51 ± 255.18	0.14
	After training	701.52±211.63	773.09±304.21	0.037

Comparison between front and rear to the stable time group (msec)

		Pretraining	After training	p
Group comparison	Experimental group	1262.32 ± 502.31	1426.78 ± 336.29	0.012
	Control group	1265.07 ± 412.25	1323.16 ± 362.68	0.053

The vertical direction is compared in the stable time group(msec)

		Pretraining	After training	p
Group comparison	Experimental group	796.65 ± 163.21	701.52±211.63	0.003
	Control group	623.51 ± 255.18	773.09±304.21	0.109

Experimental environment configuration

Entry	Configuring
CPU	Intel® Core™ i7-9750H @2.60GHz
Memory	64.0GB
Python	3.6
Pytorch	1.9.1

The front and rear are to the arrival of stable time statistics (msec)

		Experimental group	Control group	p
Intergroup comparison	Pretraining	1262.32 ± 502.31	1265.07 ± 412.25	0.212
	After training	1426.78 ± 336.29	1323.16 ± 362.68	0.007

The comparison of the maximum offset in front of the pressure center (cm)

		Pretraining	After training	p
Group comparison	Experimental group	3.26 ± 0.75	3.75 ± 0.31	0.018
	Control group	3.34 ± 1.23	3.52 ±0.68	0.175

The center of the pressure center is compared to the maximum offset group(cm)

		Pretraining	After training	p
Group comparison	Experimental group	10.21 ± 5.63	13.58 ± 3.17	0.012
	Control group	11.04 ± 4.57	12.55 ± 3.24	0.163

Experimental results

Action classification method	m AP	GFLOPs/V
ST-GCN	87.63%	55.17
AGCN	89.01%	54.32
PoseC3D	93.54%	36.85
MS-G3D	90.37%	42.01
OURS	95.22%	29.35

The comparison of the total offset in the pressure center (cm)

		Pretraining	After training	p
Group comparison	Experimental group	143.06 ± 12.21	154.17 ± 25.04	0.038
	Control group	141.08 ± 22.67	141.93 ± 25.81	0.535