A Method for Analyzing Ski Movement Sequence Based on Hidden Markov
A technology of hidden Markov analysis and skiing, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems of reducing the amount of calculation, reducing the dimension of the attitude matrix, etc., so as to reduce the amount of calculation and improve training. The effect of improving the efficiency of analysis
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[0075] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described below in conjunction with the accompanying drawings and examples.
[0076] In order to verify the feasibility of the method, this embodiment chooses to collect continuous left and right turning motion posture data in skiing on an indoor skiing simulation platform (SkyTechSport ski&fit).
[0077] Such as figure 1 As shown, a method for analyzing skiing motion sequences based on Hidden Markov disclosed in this embodiment, the specific implementation steps are as follows:
[0078] Step 1: Add a window to the original attitude data and divide it into data frames on the time series. The original pose data of the human body is stored in the form of a table. The rows in the table represent time frames, and the columns represent body nodes. When the present invention is applied to skiing, the posture is mainly affected by the limbs and trun...
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