14 citations · 14 across the 3 of their papers we have counts for
3 papers
Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing
Jeanne I. M. Parmentier, Rhana M. Aarts, Elin Hernlund +2
Monitoring respiration parameters such as respiratory rate could be beneficial to understand the impact of training on equine health and performance and ultimately improve equine w…
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation
Maheen Rashid, Sofia Broomé, Katrina Ask +4
Timely detection of horse pain is important for equine welfare. Horses express pain through their facial and body behavior, but may hide signs of pain from unfamiliar human observe…
hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition
Ci Li, Nima Ghorbani, Sofia Broomé +5
In this paper we present our preliminary work on model-based behavioral analysis of horse motion. Our approach is based on the SMAL model, a 3D articulated statistical model of ani…