Horses Archives - Tech4Animals https://tech4animals.haifa.ac.il/publication-field/horses/ Animal-centered AI that SEES Animals Sat, 30 May 2026 13:25:07 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.2 https://tech4animals.haifa.ac.il/wp-content/uploads/2025/07/cropped-FAV-32x32.png Horses Archives - Tech4Animals https://tech4animals.haifa.ac.il/publication-field/horses/ 32 32 Automated Recognition of Emotional States of Horses from Facial Expressions https://tech4animals.haifa.ac.il/publications/automated-recognition-of-emotional-states-of-horses-from-facial-expressions/ Wed, 31 Jul 2024 02:45:23 +0000 https://tech4animals.haifa.ac.il/?post_type=publications&p=2393 This research introduces the first automated recognition of emotional states in horses from facial expressions, moving beyond the typical focus on pain in animal affective computing. The study, conducted by Marcelo Feighelstein, Claire Riccie-Bonot, and their colleagues, developed two AI models: a deep learning model that analyzes video footage and a machine learning model that […]

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]]> This research introduces the first automated recognition of emotional states in horses from facial expressions, moving beyond the typical focus on pain in animal affective computing. The study, conducted by Marcelo Feighelstein, Claire Riccie-Bonot, and their colleagues, developed two AI models: a deep learning model that analyzes video footage and a machine learning model that uses EquiFACS annotations. The video-based model achieved a higher accuracy of 76% in distinguishing four emotional states: baseline, positive anticipation, disappointment, and frustration, indicating that raw video data may contain more nuanced information than manual coding. While the deep learning approach offers superior performance, the EquiFACS-based model provides greater interpretability through its decision tree structure, offering insights into the specific facial cues driving its classifications.

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]]> Time Budget Analysis with Large Vision Language Models for Automated Pain Assessment in Horses https://tech4animals.haifa.ac.il/publications/time-budget-analysis-with-large-vision-language-models-for-automated-pain-assessment-in-horses/ Fri, 06 Mar 2026 14:22:28 +0000 https://tech4animals.haifa.ac.il/?post_type=publications&p=2988 Assessing pain in horses is challenging because they instinctively hide discomfort, but shifts in their daily behavioral routines can provide vital clues. To bypass the impracticality of continuous manual observation, this study developed an automated video analysis pipeline using Large Vision Language Models (LVLMs). Researchers applied these models to stall surveillance videos of hospitalized horses […]

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]]> Assessing pain in horses is challenging because they instinctively hide discomfort, but shifts in their daily behavioral routines can provide vital clues. To bypass the impracticality of continuous manual observation, this study developed an automated video analysis pipeline using Large Vision Language Models (LVLMs). Researchers applied these models to stall surveillance videos of hospitalized horses to track time spent on activities like resting, feeding, and moving. These time budgets were then fed into machine learning classifiers to distinguish between painful and non-painful states. The system achieved an 80% accuracy in pain detection, proving that LVLMs offer a scalable, non-invasive solution for equine welfare monitoring without requiring expensive manual data annotation.

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