D. Campos, P. J. Abatti, F. L. Bertotti, A. L. F. D. Silveira, João Ari Gualberto Hill
{"title":"Surface electromyography measurements for ingestive behaviour identification on goats","authors":"D. Campos, P. J. Abatti, F. L. Bertotti, A. L. F. D. Silveira, João Ari Gualberto Hill","doi":"10.1109/LASCAS.2016.7451062","DOIUrl":null,"url":null,"abstract":"Monitoring grazing ruminants ingestive behaviour has applications in measuring animal welfare, animal diseases detection and animal production system modelling. Current monitoring methods are mostly laborious, time expensive or invasive. In this work, it is presented a non-invasive method for chewing activity identification on goats by masseter muscle surface Electromyography (sEMG). Short-term chewing/resting time and chewing count were successfully predicted on male goats comparing to visual observation.","PeriodicalId":129875,"journal":{"name":"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LASCAS.2016.7451062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Monitoring grazing ruminants ingestive behaviour has applications in measuring animal welfare, animal diseases detection and animal production system modelling. Current monitoring methods are mostly laborious, time expensive or invasive. In this work, it is presented a non-invasive method for chewing activity identification on goats by masseter muscle surface Electromyography (sEMG). Short-term chewing/resting time and chewing count were successfully predicted on male goats comparing to visual observation.