Classifying sows' activity types from acceleration patterns An application of the Multi-Process Kalman Filter

By Cécile Cornou, Søren Lundbye-Christensen. 2008

75 citations recorded by the source corpus.

Subfields: Small Animals

View Paper: https://www.semanticscholar.org/paper/50048d4d56454b5e36ce2227e4c538568659b752

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In Small Animals

1. Stefan Siebert
2. M. Moreau
3. Andreas Buerkert
4. E. Schlecht

Citations in the corpus

• Automated video analysis of pig activity at pen level highly correlates to human observations of behavioural activities (2014, unknown): “, attaching accelerometers to individual animals, as was shown in validation research for measuring activity types in sows (Cornou and Lundbye-Christensen, 2008).”
• Use of a tri-axial accelerometer for automated recording and classification of goats' grazing behaviour (2009, methodology): “Other studies proposed to classify the activities based on mathematical transformation of the raw data (Watanabe et al., 2005; Cornou and Lundbye-Christensen, 2007 ).”
• Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines (2009, methodology): “, 2008) to dynamic linear model combined with a multi-process Kalman filter (Cornou and Lundbye-Christensen, 2008) and canonical discrimination analysis (Watanabe et al.”