Online detection of an emotional response of a horse during physical activity.
Abstract: The objective of this research was to develop a non-invasive method to detect an emotional response of a horse to novelty during physical activity. Two horses performed 20 trials each, in which the horse's heart rate (HR) and physical activity were continuously measured. The relationship between the horse's physical activity and HR was described by a mathematical model allowing online decomposition of the horse's HR into a physical component and a component containing information about its emotional state. Exposure to the novel object resulted in an increase in the emotional component of HR, which allowed automatic detection of an emotional response of the horse in 33/40 trials. In the remaining seven trials no stable model could be built or data were missing. The results show that model-based decomposition of HR can be a useful tool for quantification of certain aspects of temperament.
Publication Date: 2009-04-17 PubMed ID: 19375961DOI: 10.1016/j.tvjl.2009.03.017Google Scholar: Lookup
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- Journal Article
Summary
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The research carried out aimed to create a new way of gauging the emotional responses of a horse in relation to novel objects during physical activity. They accomplished this by developing a mathematical model based on heart rate (HR) and activity level data, essentially separating the physical and emotional components of the horse’s HR.
Methodology
- This study included two horses who each completed 20 trials.
- During each trial, the horse’s activity level and HR were continuously monitored and recorded.
- The data was then split into the physical activity and the emotional response, via the novel mathematical model.
- Each horse’s response to a new object was noted during the trials.
Results and Conclusion
- The experiment detected increased emotional response in the heart rates of the horses, as they encountered the new object. This was seen in 33 out of the total 40 trials.
- In the remaining 7 trials, the model could either not be reliably built, or data was missing, hence no concrete results could be derived.
- The researchers concluded that using HR decomposition may be a useful method in quantifying specific aspects of a horse’s temperament.
This research could prove beneficial in animal psychology and indicates that it may be possible to measure emotional responses in other animals using similar methods. It could also have significant applications in animal welfare and training, helping to better understand animal emotions and reactions to certain stimuli.
Cite This Article
APA
Jansen F, Van der Krogt J, Van Loon K, Avezzù V, Guarino M, Quanten S, Berckmans D.
(2009).
Online detection of an emotional response of a horse during physical activity.
Vet J, 181(1), 38-42.
https://doi.org/10.1016/j.tvjl.2009.03.017 Publication
Researcher Affiliations
- Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
MeSH Terms
- Adaptation, Psychological
- Animals
- Behavior, Animal
- Computer Simulation
- Emotions / physiology
- Heart Rate
- Horses / physiology
- Horses / psychology
- Models, Biological
- Motor Activity
- Photic Stimulation
Citations
This article has been cited 5 times.- Darbandi H, Munsters C, Parmentier J, Havinga P. Detecting fatigue of sport horses with biomechanical gait features using inertial sensors. PLoS One 2023;18(4):e0284554.
- Golzari K, Kong Y, Reed SA, Posada-Quintero HF. Sympathetic Arousal Detection in Horses Using Electrodermal Activity. Animals (Basel) 2023 Jan 7;13(2).
- Szabó C, Vizesi Z, Vincze A. Heart Rate and Heart Rate Variability of Amateur Show Jumping Horses Competing on Different Levels. Animals (Basel) 2021 Mar 4;11(3).
- Arfuso F, Giannetto C, Giudice E, Fazio F, Panzera M, Piccione G. Peripheral Modulators of the Central Fatigue Development and Their Relationship with Athletic Performance in Jumper Horses. Animals (Basel) 2021 Mar 8;11(3).
- Loftus L, Newman A, Leach M, Asher L. Exploring the induction and measurement of positive affective state in equines through a personality-centred lens. Sci Rep 2025 May 27;15(1):18550.
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