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Classification of the cattle's behaviors by using accelerometer data with simple behavioral technique | IEEE Conference Publication | IEEE Xplore

Classification of the cattle's behaviors by using accelerometer data with simple behavioral technique


Abstract:

To prognosticate the cattle's health, the farmer can observe the cattle activities such as the time period of walking-grazing, standing and sleeping. However, to monitor ...Show More

Abstract:

To prognosticate the cattle's health, the farmer can observe the cattle activities such as the time period of walking-grazing, standing and sleeping. However, to monitor the cattle's behaviors, it is unable to monitor such behavior all the time and thorough, especially raise many cattle. Therefore, this paper proposes to classify the cattle's behaviors by using the magnitude and standard deviation of accelerometer output signal. The magnitude of each axis is used to classify the behaviors into two groups: 1) walking-grazing and standing and 2) lying down. While the standard deviation of Y-axis is used to notify the behaviors of walking-grazing and standing. The classification results were tested with two cattle and measured precise time of each behavior comparing with human observers. As a result, duration of each behavior is nearby, it has the errors as follows walking-grazing maximum errors 2% standing maximum errors 13% and lying maximum errors 7%.
Date of Conference: 09-12 December 2014
Date Added to IEEE Xplore: 16 February 2015
Electronic ISBN:978-6-1636-1823-8
Conference Location: Siem Reap, Cambodia
Department of Engineering, Mahasarakham University, Mahasarakham, Thailand
Department of Engineering, Mahasarakham University, Mahasarakham, Thailand
Department of Engineering, Mahasarakham University, Mahasarakham, Thailand

I. Introduction

An automated system to classify of animal behavior could provide useful information to identify health problems or a risk of animals for disease that would have a significant impact on practical farming and also be useful in alleviating health and economic costs associated with illness [1], [2]

Department of Engineering, Mahasarakham University, Mahasarakham, Thailand
Department of Engineering, Mahasarakham University, Mahasarakham, Thailand
Department of Engineering, Mahasarakham University, Mahasarakham, Thailand

References

References is not available for this document.