动物福利监测系统中的信号处理与行为识别

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI:10.1109/ICSEE.2018.8646097

P. Busch, Frank Stïpmann, H. Ewald

{"title":"动物福利监测系统中的信号处理与行为识别","authors":"P. Busch, Frank Stïpmann, H. Ewald","doi":"10.1109/ICSEE.2018.8646097","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Signal processing and behaviour recognition in animal welfare monitoring system\",\"authors\":\"P. Busch, Frank Stïpmann, H. Ewald\",\"doi\":\"10.1109/ICSEE.2018.8646097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":254455,\"journal\":{\"name\":\"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSEE.2018.8646097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEE.2018.8646097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文描述了从奶牛项圈中捕获的关于健康状态预测的3d加速数据的评估。它优化了奶牛躺卧和站立活动区分的现有算法。测试了分类器在不同采样频率、窗大小和窗步长下的准确率。由于目标嵌入式系统对预测算法的处理能力和能源有限，因此讨论了关于准确性和最小化资源使用的参数选择。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Signal processing and behaviour recognition in animal welfare monitoring system

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)

自引率

0.00%

发文量