Signal processing and behaviour recognition in animal welfare monitoring system

被引：0
|
作者：
Busch, Patrick [1 ]
Stuepmann, Frank [1 ]
Ewald, Hartmut [1 ]
机构：
[1] Univ Rostock, Gen Elect Engn, Rostock, Germany
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON THE SCIENCE OF ELECTRICAL ENGINEERING IN ISRAEL (ICSEE) | 2018年
关键词：
behaviour recognition; dairy cow; cattle; binary classifier; collar; animal welfare;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper describes the evaluation of captured 3D-acceleration data from collars of dairy cows regarding the prediction of the state of health. It optimizes an existing algorithm on the subject of the distinction of lying and standing activities of dairy cows. It tests the accuracy of the classifier at different sampling frequencies, window sizes and window step sizes. A parameter selection is discussed regarding the accuracy and minimizing use of resources, due to restricted processing power and energy resources on the targeted embedded system for the prediction algorithm.
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页数：4
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