ArticleAnimals : an open access journal from MDPI2019
Computational Analysis of Movement Patterns of Dogs with ADHD-Like Behavior.
Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 35 citations in OpenAlex.
- TP-CanineNet: Temporal Context Contrastive Learning with Pseudo-Label Supervision for Abnormal Behavior Detection of Canine.Animals : an open access journal from MDPI · 2026Article
- The Expanding Role of Artificial Intelligence in Companion Animal Care: A Systematic Review.Animals : an open access journal from MDPI · 2026Review
- Development of a human analogue ADHD diagnostic system for family dogs.Scientific reports · 2025Article
- New Advances in Attention-Deficit/Hyperactivity Disorder-like Dogs.Animals : an open access journal from MDPI · 2024Review
- Towards an Objective Measurement Tool for ADHD-like Traits in Family Dogs: A Comprehensive Test Battery.Animals : an open access journal from MDPI · 2024Article
- Development of a human-analogue, 3-symptom domain Dog ADHD and Functionality Rating Scale (DAFRS).Scientific reports · 2024Article
- Behavioral comorbidities treatment by fecal microbiota transplantation in canine epilepsy: a pilot study of a novel therapeutic approach.Frontiers in veterinary science · 2024Article
- Automation in canine science: enhancing human capabilities and overcoming adoption barriers.Frontiers in veterinary science · 2024Article
- Digitally-enhanced dog behavioral testing.Scientific reports · 2023Article
- BrachySound: machine learning based assessment of respiratory sounds in dogs.Scientific reports · 2023Article
- Behavior-Based Video Summarization System for Dog Health and Welfare Monitoring.Sensors (Basel, Switzerland) · 2023Article
- Using machine learning to track dogs' exploratory behaviour in the presence and absence of their caregiver.Animal behaviour · 2023Article
- Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning.Animals : an open access journal from MDPI · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational approaches were called for to address the challenges of more objective behavior assessment which would be less reliant on owner reports. This study aims to use computational analysis for investigating a hypothesis that dogs with ADHD-like (attention deficit hyperactivity disorder) behavior exhibit characteristic movement patterns directly observable during veterinary consultation. Behavioral consultations of 12 dogs medically treated due to ADHD-like behavior were recorded, as well as of a control group of 12 dogs with no reported behavioral problems. Computational analysis with a self-developed tool based on computer vision and machine learning was performed, analyzing 12 movement parameters that can be extracted from automatic dog tracking data. Significant differences in seven movement parameters were found, which led to the identification of three dimensions of movement patterns which may be instrumental for more objective assessment of ADHD-like behavior by clinicians, while being directly observable during consultation. These include (i) high speed, (ii) large coverage of space, and (iii) constant re-orientation in space. Computational tools used on video data collected during consultation have the potential to support quantifiable assessment of ADHD-like behavior informed by the identified dimensions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.