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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

Active Publication Date: 2022-04-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of method based on Hidden Markov analysis ski motion sequence, can solve following technical problem: (1) reduce the dimension of attitude matrix by using SVD singular value decomposition and matrix norm, and then pass low dimension The data represents the attitude information, reducing the amount of calculation; (2) building the probability transition model of the skiing sequence with the help of the hidden Markov method; (3) optimizing the parameters of the skiing sequence model through the observation state; (4) using the obtained skiing sequence The probability transition model analyzes the motion sequence to realize the analysis of the athlete's skiing process

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  • A Method for Analyzing Ski Movement Sequence Based on Hidden Markov
  • A Method for Analyzing Ski Movement Sequence Based on Hidden Markov
  • A Method for Analyzing Ski Movement Sequence Based on Hidden Markov

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Embodiment Construction

[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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Abstract

The invention discloses a method for analyzing skiing motion sequences based on Hidden Markov, which belongs to the field of motion posture data processing and analysis. The realization method of the present invention is: by windowing the original attitude data of the skier collected by the sensor, dividing the original attitude data into data frames on a time series, and then using SVD and matrix norm to extract the "symbolic value" representing the attitude matrix . Based on Hidden Markov, the probability transition model of the skiing motion sequence is built, and the parameters of the probability transition model of the skiing motion sequence are optimized by using the "symbolic value" sequence on the time series, and the optimal path of the hidden state of the skiing motion sequence is calculated. Calculate the probability of each skiing state at the next moment by calculating the optimal hidden state path and the probability transition model, and then predict the skiing state at the next moment. Improve the training effect for ski trainers.

Description

technical field [0001] The invention relates to a method for analyzing skiing motion sequences based on Hidden Markov, and belongs to the field of motion posture data processing and analysis. Background technique [0002] The 24th Winter Olympic Games will be held in my country in 2022, and people's enthusiasm for ice and snow sports continues to rise. Whether it is an amateur or a professional athlete, it is necessary to obtain the action sequence during the skiing process during training, so as to analyze and guide their skiing process. The most important technology in the field of obtaining human motion posture sequences is motion capture technology. Many scholars at home and abroad have conducted a lot of research on obtaining human body motion posture sequences using existing motion capture technologies. The current mainstream motion capture methods are divided into There are three kinds of photoelectric capture, image capture and inertial sensor capture. In the field...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V30/226G06V10/44G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V30/2276G06V10/44G06N3/045G06F18/2415
Inventor 费庆李佩璋姚小兰陈振方勖洋张艺佳
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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