Dog behavior recognition based on multimodal data from a camera and wearable device
J Kim, N Moon - Applied sciences, 2022 - mdpi.com
Although various studies on monitoring dog behavior have been conducted, methods that
can minimize or compensate data noise are required. This paper proposes multimodal data …
can minimize or compensate data noise are required. This paper proposes multimodal data …
Digitally-enhanced dog behavioral testing
N Farhat, T Lazebnik, J Monteny, CPH Moons… - Scientific Reports, 2023 - nature.com
Behavioral traits in dogs are assessed for a wide range of purposes such as determining
selection for breeding, chance of being adopted or prediction of working aptitude. Most …
selection for breeding, chance of being adopted or prediction of working aptitude. Most …
[HTML][HTML] Epilepsy is more than a simple seizure disorder: Parallels between human and canine cognitive and behavioural comorbidities
Psychiatric and cognitive comorbidities have been known to play a major role in human
epilepsy for a long time. People with epilepsy (PWE) frequently express signs of varying …
epilepsy for a long time. People with epilepsy (PWE) frequently express signs of varying …
Behavioral comorbidities treatment by fecal microbiota transplantation in canine epilepsy: a pilot study of a novel therapeutic approach
Introduction Anxiety and cognitive dysfunction are frequent, difficult to treat and burdensome
comorbidities in human and canine epilepsy. Fecal microbiota transplantation (FMT) has …
comorbidities in human and canine epilepsy. Fecal microbiota transplantation (FMT) has …
Effects of a single oral dose of gabapentin on storm phobia in dogs: A double‐blind, placebo‐controlled crossover trial
S Bleuer‐Elsner, T Medam, S Masson - Veterinary Record, 2021 - Wiley Online Library
Background: Storm phobia in companion dogs is a common disorder that significantly
impacts dogs' welfare. Gabapentin, the action of which is only partially understood, is widely …
impacts dogs' welfare. Gabapentin, the action of which is only partially understood, is widely …
Development of a human-analogue, 3-symptom domain Dog ADHD and Functionality Rating Scale (DAFRS)
The family dog, in its natural environment, exhibits neuropsychological deficits redolent of
human psychiatric disorders, including behaviours that are similar to human attention …
human psychiatric disorders, including behaviours that are similar to human attention …
BrachySound: machine learning based assessment of respiratory sounds in dogs
A Oren, JD Türkcü, S Meller, T Lazebnik, P Wiegel… - Scientific reports, 2023 - nature.com
The early and accurate diagnosis of brachycephalic obstructive airway syndrome (BOAS) in
dogs is pivotal for effective treatment and enhanced canine well-being. Owners often do …
dogs is pivotal for effective treatment and enhanced canine well-being. Owners often do …
Objective video-based assessment of ADHD-like canine behavior using machine learning
A Fux, A Zamansky, S Bleuer-Elsner, D van der Linden… - Animals, 2021 - mdpi.com
Simple Summary This paper applies machine learning techniques to propose an objective
video-based method for assessing the degree of canine ADHD-like behavior in veterinary …
video-based method for assessing the degree of canine ADHD-like behavior in veterinary …
[HTML][HTML] New Advances in Attention-Deficit/Hyperactivity Disorder-like Dogs
Á González-Martínez, S Muñiz de Miguel, FJ Diéguez - Animals, 2024 - mdpi.com
Simple Summary Similar to humans, dogs could suffer a syndrome similar to Attention-
Deficit/Hyperactivity Disorder (ADHD). Several studies suggest that dogs can serve as a …
Deficit/Hyperactivity Disorder (ADHD). Several studies suggest that dogs can serve as a …
Automatic animal behavior analysis: opportunities for combining knowledge representation with machine learning
Computational animal behavior analysis (CABA) is an emerging field which aims to apply AI
techniques to support animal behavior analysis. The need for computational approaches …
techniques to support animal behavior analysis. The need for computational approaches …