Human motion date recognizing method based on integrated Hidden Markov model leaning method
A technology integrating Hidden Markov and Hidden Markov, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high-dimensional disaster, indistinguishability, and high feature dimension
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[0087] Example 1
[0088] The training sample includes 150 various types of walking motions. Figure 4 shows a comparison of the accuracy of walking motion recognition using two learning methods using weak hidden Markov model and integrated hidden Markov model. The following is a detailed description of the specific steps of the implementation of the example of the method of the present invention as follows:
[0089] (1) Extract all the two-dimensional geometric features of the walking motion using the method described in Step 1: Extract a two-dimensional geometric feature to express that a right toe is located in front of the plane composed of the left ankle, the left hip and the root node in the walking motion Fixed posture. We define 1≤i≤4 are four three-dimensional points, where 1 , P 2 , P 3 >Represents the reference plane determined by the first three points, and the orientation depends on the order of the three points. Then we define as follows:
[0090]
[0091] Through ...
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[0123] Example 2
[0124] The training samples include 110 various types of boxing sports. Figure 5 shows a comparison of the accuracy of boxing sports recognition using two learning methods, the weak hidden Markov model and the integrated hidden Markov model. The following is a detailed description of the specific steps of the implementation of the example of the method of the present invention as follows:
[0125] (1) Use the method described in step 1 to extract a two-dimensional geometric feature to express a fixed posture in which the right hand is located in front of the plane formed by the left shoulder, the left hip, and the root node in boxing. We define 1≤i≤4 are four three-dimensional points, where 1 , P 2 , P 3 ,>Represents the reference plane determined by the first three points, and the orientation depends on the order of the three points. Then we define as follows:
[0126]
[0127] Through the above definition, we define a characteristic function for any four ad...
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