[Retracted] Aided Evaluation of Motion Action Based on Attitude Recognition

Table 4

Motion evaluation method.

Method	Description
Template-based method	In the matching mode, the action sequence to be detected is compared with the pre-established style action library according to a specific time order, and the action similarity is introduced to evaluate the action. When encountering complex action, we don’t need to pay attention to the time order when studying its action. We can use the dynamic matching method to compare and analyze the actions at any time in the action sequence to be detected with the style action library. Next, find the best way to match these two methods to achieve the effect of motion recognition and classification.
Method based on state space [22]	The hidden Markov (HMN) model is one of the most convincing methods in this type of action evaluation. Researchers put forward Bayesian network based on probability inference, which eliminates uncertainty and incompleteness. Compared with the link structure of HMN, Bayesian network is a directed graph describing a random process, which well expresses the time and sequence transformation of the state.