Image Recognition
In order to verify the recognition effect of the designed wearable sensor Taekwondo motion image recognition model based on the hybrid neural network algorithm, this paper built an experimental platform, and compared it with the conventional wearable sensor Taekwondo motion image recognition model, and carried out experiments, as follows. On the contrary, the lower the recognition rate after moving image displacement, the poorer the recognition effect of the moving image recognition model. That is, in the built experimental platform, the wearable sensor Taekwondo motion image recognition model based on the hybrid neural network algorithm designed in this paper and the conventional wearable sensor Taekwondo motion image recognition model are respectively used for motion image recognition, and the public formula (1) is used to record the motion image displacement recognition rate of the two methods in different motion modes. Full size tableTable 4 shows that the displacement recognition rate of the motion image of the wearable sensor Taekwondo motion image recognition model designed in this paper based on the hybrid neural network algorithm is high in different motion modes, while the displacement recognition rate of the motion image of the conventional wearable sensor Taekwondo motion image recognition model is relatively low. It proves that the wearable sensor Taekwondo motion image recognition model designed in this paper has good recognition performance, effectiveness and certain application value.