AIMC Topic: Horses

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Artificial intelligence tools to assess different levels of activity performed by semi-wild horses in grassland ecosystems.

Environmental monitoring and assessment Jul 16, 2025
In order to understand the role of horses in ecosystems and to effectively use their grazing in the protection of grasslands, it is important to assess where they primarily stay, followed by whether these habitats are used for grazing or resting. The...
Artificial Intelligence Horses Behavior, Animal Grassland Animals Ecosystem Environmental Monitoring
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An iterative approach to identify key predictive features of fear reactivity and fearfulness in horses (Equus caballus).

Scientific reports Jul 9, 2025
This study extends previous findings by applying artificial intelligence (AI) methods to a larger dataset to identify key features that predict fear reactivity (i.e., immediate reaction to fear inducing stimuli) and fearfulness (i.e., a stable person...
Behavior, Animal Fear Male Personality Horses Artificial Intelligence Female Animals
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Marker based and markerless motion capture for equestrian rider kinematic analysis: A comparative study.

Journal of biomechanics Apr 26, 2025
The study hypothesised that a markerless motion capture system can provide kinematic data comparable to a traditional marker-based system for riders mounted on a horse. The objective was to assess the markerless system's accuracy by directly comparin...
Gait Range of Motion, Articular Horses Animals Male Walking Joints Motion Capture Humans Female Adult Biomechanical Phenomena
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Using deep learning models to decode emotional states in horses.

Scientific reports Apr 23, 2025
In this study, we explore machine learning models for predicting emotional states in ridden horses. We manually label the images to train the models in a supervised manner. We perform data exploration and use different cropping methods, mainly based ...
Horses Behavior, Animal Animals Deep Learning Emotions Neural Networks, Computer
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Ivermectin performance against equine strongylids: Efficacy, egg reappearance periods, and fecal egg counting method comparison.

Veterinary parasitology Apr 9, 2025
Equine strongylids are ubiquitous and can cause severe health issues. Anthelmintic resistance is widely common in cyathostomin parasites, and recent studies have documented increasing incidence of resistance to the macrocyclic lactone drug class. Sev...
Animals Male Feces Female Parasite Egg Count Strongyle Infections, Equine Horses Denmark Anthelmintics Ivermectin Horse Diseases Strongylus
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Machine Learning Predicts Non-Preferred and Preferred Vertebrate Hosts of Tsetse Flies (Glossina spp.) Based on Skin Volatile Emission Profiles.

Journal of chemical ecology Mar 7, 2025
Tsetse fly vectors of African trypanosomosis preferentially feed on certain vertebrates largely determined by olfactory cues they emit. Previously, we established that three skin-derived ketones including 6-methyl-5-hepten-2-one, acetophenone and ger...
Equidae Volatile Organic Compounds Skin Horses Gas Chromatography-Mass Spectrometry Kenya Ketones Odorants Machine Learning Vertebrates Animals Tsetse Flies
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Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System.

Sensors (Basel, Switzerland) Feb 12, 2025
Lameness detection in horses is a critical challenge in equine veterinary practice, particularly when symptoms are mild. This study aimed to develop a predictive system using a support vector machine (SVM) to identify the affected limb in horses trot...
Forelimb Machine Learning Lameness, Animal Gait Horses Hindlimb Biomechanical Phenomena Horse Diseases Animals Support Vector Machine
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Convolutional Neural Networks Assisted Peak Classification in Targeted LC-HRMS/MS for Equine Doping Control Screening Analyses.

Analytical chemistry Feb 3, 2025
Doping control screening analyses usually involve visual inspection of extracted ion chromatograms (EIC) by a trained analytical chemist, followed by further investigations if needed. This task is both highly repetitive and time-consuming, given the ...
Doping in Sports Deep Learning Convolutional Neural Networks Discriminant Analysis Chromatography, High Pressure Liquid Tandem Mass Spectrometry Horses Neural Networks, Computer Animals
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A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things.

PloS one Feb 3, 2025
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monitoring the health of workers, patients and others in different environments, antenna play a pivotal role in such wearables. In this communication, a no...
Wireless Technology Shoes Humans Internet of Things Machine Learning Horses Animals Algorithms Wearable Electronic Devices Equipment Design
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Identifying Novel Emotions and Wellbeing of Horses from Videos Through Unsupervised Learning.

Sensors (Basel, Switzerland) Jan 31, 2025
This research applies unsupervised learning on a large original dataset of horses in the wild to identify previously unidentified horse emotions. We construct a novel, high-quality, diverse dataset of 3929 images consisting of five wild horse breeds ...
Unsupervised Machine Learning Video Recording Horses Animals Emotions
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