Animal motion behavior discrimination method and device based on temporal correlation analysis

Abstract

The invention relates to the technical field of motion behavior recognition, in particular to a method and device for animal motion behavior discrimination based on temporal correlation analysis. Obtain the known continuous motion state of the animal and the corresponding three-axis acceleration information, as well as the continuous three-axis acceleration information to be discriminated; convert the three-axis acceleration information into three-dimensional data in the natural coordinate system, and the three-axis acceleration of the known motion state The information and the corresponding three-dimensional data constitute the training data, and the continuous three-axis acceleration information to be judged and the corresponding three-dimensional data constitute the test data; according to the time series correlation relationship between the motion behavior states and the iterative regression tree model obtained through the training data training, the test The data is used to discriminate the state of motion behavior, combined with the timing of the behavior state, it makes up for the shortcomings of the iterative decision tree's poor performance in processing highly relevant data, and further improves the accuracy of behavior discrimination.

Description

technical field [0001] The invention relates to the technical field of motion behavior recognition, in particular to a method and device for animal motion behavior discrimination based on temporal correlation analysis. Background technique [0002] Dairy cow behavior is an important indicator of cow health and welfare, and accurate judgment of cow behavior is an important research content of modern animal husbandry. The existing dairy cow behavior discrimination collects a large amount of data, and the correlation is relatively heavy. The cow behavior discrimination analysis is mostly done by establishing a model. The iterative decision tree model is composed of multiple decision trees, and the conclusions of all the trees are accumulated to make the final answer. , it was considered to be a model with strong generalization ability together with the support vector machine model when it was proposed. Using the iterative decision tree model can make feasible and effective res...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method and device for animal movement behavior discrimination based on time series correlation analysis, to solve the problem of low accuracy of the existing decision tree model in identifying cow behaviors that include time correlation

[0004] In order to realize the accurate recognition of sports behavior, solve the problem of low accuracy of the existing decision tree model in the recognition of cow behavior that includes time correlation

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