Journal ArticleDOI
Evaluation of three-dimensional accelerometers to monitor and classify behavior patterns in cattle
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Overall, it is found the accelerometers provided an accurate, remote measure of cattle behavior over the trial period, but that classification accuracy was affected by the specific behavior monitored and the reporting interval (epoch).About:
This article is published in Computers and Electronics in Agriculture.The article was published on 2009-06-01. It has received 210 citations till now.read more
Citations
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Journal ArticleDOI
Preprocessing techniques for context recognition from accelerometer data
TL;DR: This article presents a survey of the techniques for extracting specific activity information from raw accelerometer data, and presents experimental results to compare and evaluate the accuracy of the various techniques using real data sets collected from daily activities.
Journal ArticleDOI
Observing the unwatchable through acceleration logging of animal behavior
Danielle D. Brown,Roland Kays,Roland Kays,Roland Kays,Martin Wikelski,Martin Wikelski,Martin Wikelski,Rory P. Wilson,A. Peter Klimley +8 more
TL;DR: This tool offers a level of detail in behavioral studies of free-ranging wild animals that has previously been impossible to achieve and, across scientific disciplines, it improves understanding of the role of behavioral mechanisms in ecological and evolutionary processes.
Journal ArticleDOI
Evaluation of data loggers, sampling intervals, and editing techniques for measuring the lying behavior of dairy cattle
TL;DR: The accuracy of the Onset Pendant G data logger for measuring lying behavior in dairy cattle was tested and it accurately measured all aspects of lying behavior when the sampling interval was ≤30 s and when short readings of lying and standing were filtered from the data set.
Journal ArticleDOI
Classification of behaviour in housed dairy cows using an accelerometer-based activity monitoring system
Jorge A. Vázquez Diosdado,Z. E. Barker,Holly R. Hodges,J. R. Amory,Darren P. Croft,Nick Bell,Edward A. Codling +6 more
TL;DR: In this article, a decision-tree algorithm was developed to classify biologically important behaviour in dairy cows and to detect transition events between lying and standing using tri-axial accelerometer data from a neck-mounted sensor.
Journal ArticleDOI
Dynamic cattle behavioural classification using supervised ensemble classifiers
Ritaban Dutta,Daniel Smith,Richard Rawnsley,Greg Bishop-Hurley,James Hills,Greg Timms,DA Henry +6 more
TL;DR: This study has shown that cattle behaviours can be classified with a high accuracy using supervised machine learning technique, and provides a significant potential in providing a mechanism for the early detection and quantitative assessment of animal health issues.
References
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Journal ArticleDOI
Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring
TL;DR: Results demonstrate the feasibility of implementing an accelerometry-based, real-time movement classifier using embedded intelligence.
Book
Data mining techniques
TL;DR: This chapter discusses the design and analysis of experiments in the context of response surface methodology, and some of the techniques used in this work were new to the literature at the time.
Journal ArticleDOI
The Technology of Accelerometry-Based Activity Monitors: Current and Future
Kong Y. Chen,David R. Bassett +1 more
TL;DR: The development of portable accelerometers has made objective assessments of physical activity possible and nonlinear approaches to predict energy expenditure using accelerometer outputs from multiple sites and orientation can enhance accuracy.
Journal ArticleDOI
A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity
TL;DR: Preliminary evaluation of the system in 13 male subjects during standardized activities in the laboratory demonstrated a significant relationship between accelerometer output and energy expenditure due to physical activity, the standard reference for physical activity.
Journal ArticleDOI
Detection of static and dynamic activities using uniaxial accelerometers
TL;DR: Discrimination of dynamic activities on the basis of the combined evaluation of the mean signal value and signal morphology is proposed.