Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour

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Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour

Automated behavioural classification and identification through sensors has the potential to improve health and welfare of the animals. Position of a sensor, sampling frequency and window size of segmented signal data has a major impact on classification accuracy in activity recognition and energy n...

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Bibliographic Details
Main Authors:	Walton, Emily, Casey, Christy, Mitsch, Jurgen, Vázquez-Diosdado, Jorge A., Yan, Juan, Dottorini, Tania, Ellis, Keith A., Winterlich, Anthony, Kaler, Jasmeet
Format:	Article
Published:	Royal Society 2018
Subjects:	sheep behaviour classification algorithm accelerometer and gyroscope sensor signal processing precision livestock monitoring
Online Access:	https://eprints.nottingham.ac.uk/49686/

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