{"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}
引用次数: 1
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.
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