Method and device for discriminating animal motion behavior based on position information

A technology of location information and discrimination method, applied in applications, other equipment, animal husbandry, etc., can solve the problems of inaccurate behavior information, inability to eat behavior and standing state classification, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-12-14
HENAN UNIV OF SCI & TECH
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  • Description
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AI Technical Summary

Problems solved by technology

[0003] The object of the present invention is to provide a method and device for discriminating animal movement behavior based on position information, to solve the problem that existing animal movement behavior discrimination methods cannot effectively classify eating behavior and standing state in the movement state, resulting in identified

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  • Method and device for discriminating animal motion behavior based on position information
  • Method and device for discriminating animal motion behavior based on position information
  • Method and device for discriminating animal motion behavior based on position information

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Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the drawings.

[0031] The present invention provides a method for determining animal motion behavior based on position information. The method can be used to determine the motion behavior of various types of animals, but they are all based on motion data detected by a three-axis acceleration sensor. The present invention takes the motion behavior of cows as For example, a three-axis acceleration sensor is set on the right hind leg of a cow to obtain 7 different behaviors of the cow in real time: eating, fast walking, slow walking, lying down, standing, standing up and lying down.

[0032] Such as figure 1 As shown, including the following steps:

[0033] 1) Obtain the three-axis acceleration data of the motion behavior of the cow to be processed and the animal's position information at the time corresponding to the three-axis acceleration data.

[0034] A three-axis acceleration sensor is used ...

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Abstract

The invention relates to the technical field of motion behavior identification, and especially relates to a method and a device for discriminating animal motion behaviors based on position information. The method comprises: through obtaining three-axis acceleration data of motion behaviors of a to-be-treated animal, identifying and classifying at least stand behavior and eating behavior in motionbehaviors according to the three-axis acceleration data; obtaining position information of an animal at the time corresponding to the three-axis acceleration data, comparing the position information with an animal eating region; according to a D-S evidence theory algorithm, respectively distinguishing the stand behavior and the eating behavior which are identified and classified, to obtain real stand behavior and real eating behavior, classifying the motion behaviors according to the three-axis acceleration data firstly, then combining the acceleration data with position data, to distinguish behaviors which are easily confused, so that accuracy of behavior classification is effectively improved.

Description

Technical field [0001] The invention relates to the technical field of sports behavior recognition, in particular to a method and device for identifying animal sports behaviors based on position information. Background technique [0002] At present, due to the rapid development of artificial neural networks, it has become a powerful tool for pattern recognition. The application of neural network opens up new areas to solve problems that cannot be solved by other pattern recognition. Its classification function is particularly suitable for the application of pattern recognition and classification. BP neural network is currently the most used form of neural network and can be applied to objects Judging of sports behavior. The BP neural network is applied to the motion behavior discrimination of objects, because its errors and functions may have local minimums, the resulting network fault tolerance is poor, and the learning rate is unstable. As a result, when it is used to discrimi...

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Application Information

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IPC IPC(8): A01K29/00
CPCA01K29/005
Inventor 王俊张海洋路远方冯浩张亚丹
Owner HENAN UNIV OF SCI & TECH
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