Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning
Canine ADHD-like behavior is a behavioral problem that often compromises dogs’ well-being, as well as the quality of life of their owners; early diagnosis and clinical intervention are often critical for successful treatment, which usually involves medication and/or behavioral modification. Diagnosi...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
|
| Series: | Animals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2615/11/10/2806 |
| _version_ | 1797515566563459072 |
|---|---|
| author | Asaf Fux Anna Zamansky Stephane Bleuer-Elsner Dirk van der Linden Aleksandr Sinitca Sergey Romanov Dmitrii Kaplun |
| author_facet | Asaf Fux Anna Zamansky Stephane Bleuer-Elsner Dirk van der Linden Aleksandr Sinitca Sergey Romanov Dmitrii Kaplun |
| author_sort | Asaf Fux |
| collection | DOAJ |
| description | Canine ADHD-like behavior is a behavioral problem that often compromises dogs’ well-being, as well as the quality of life of their owners; early diagnosis and clinical intervention are often critical for successful treatment, which usually involves medication and/or behavioral modification. Diagnosis mainly relies on owner reports and some assessment scales, which are subject to subjectivity. This study is the first to propose an objective method for automated assessment of ADHD-like behavior based on video taken in a consultation room. We trained a machine learning classifier to differentiate between dogs clinically treated in the context of ADHD-like behavior and health control group with 81% accuracy; we then used its output to score the degree of exhibited ADHD-like behavior. In a preliminary evaluation in clinical context, in 8 out of 11 patients receiving medical treatment to treat excessive ADHD-like behavior, H-score was reduced. We further discuss the potential applications of the provided artifacts in clinical settings, based on feedback on H-score received from a focus group of four behavior experts. |
| first_indexed | 2024-03-10T06:47:13Z |
| format | Article |
| id | doaj.art-58d1325080aa4204adf1c14507973158 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-10T06:47:13Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-58d1325080aa4204adf1c145079731582023-11-22T17:09:24ZengMDPI AGAnimals2076-26152021-09-011110280610.3390/ani11102806Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine LearningAsaf Fux0Anna Zamansky1Stephane Bleuer-Elsner2Dirk van der Linden3Aleksandr Sinitca4Sergey Romanov5Dmitrii Kaplun6Information Systems Department, University of Haifa, Haifa 3498838, IsraelInformation Systems Department, University of Haifa, Haifa 3498838, IsraelInformation Systems Department, University of Haifa, Haifa 3498838, IsraelDepartment of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE7 7XA, UKDepartment of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaDepartment of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaDepartment of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaCanine ADHD-like behavior is a behavioral problem that often compromises dogs’ well-being, as well as the quality of life of their owners; early diagnosis and clinical intervention are often critical for successful treatment, which usually involves medication and/or behavioral modification. Diagnosis mainly relies on owner reports and some assessment scales, which are subject to subjectivity. This study is the first to propose an objective method for automated assessment of ADHD-like behavior based on video taken in a consultation room. We trained a machine learning classifier to differentiate between dogs clinically treated in the context of ADHD-like behavior and health control group with 81% accuracy; we then used its output to score the degree of exhibited ADHD-like behavior. In a preliminary evaluation in clinical context, in 8 out of 11 patients receiving medical treatment to treat excessive ADHD-like behavior, H-score was reduced. We further discuss the potential applications of the provided artifacts in clinical settings, based on feedback on H-score received from a focus group of four behavior experts.https://www.mdpi.com/2076-2615/11/10/2806behavioral assessmentveterinary sciencemachine learningADHD-like behavior |
| spellingShingle | Asaf Fux Anna Zamansky Stephane Bleuer-Elsner Dirk van der Linden Aleksandr Sinitca Sergey Romanov Dmitrii Kaplun Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning Animals behavioral assessment veterinary science machine learning ADHD-like behavior |
| title | Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning |
| title_full | Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning |
| title_fullStr | Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning |
| title_full_unstemmed | Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning |
| title_short | Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning |
| title_sort | objective video based assessment of adhd like canine behavior using machine learning |
| topic | behavioral assessment veterinary science machine learning ADHD-like behavior |
| url | https://www.mdpi.com/2076-2615/11/10/2806 |
| work_keys_str_mv | AT asaffux objectivevideobasedassessmentofadhdlikecaninebehaviorusingmachinelearning AT annazamansky objectivevideobasedassessmentofadhdlikecaninebehaviorusingmachinelearning AT stephanebleuerelsner objectivevideobasedassessmentofadhdlikecaninebehaviorusingmachinelearning AT dirkvanderlinden objectivevideobasedassessmentofadhdlikecaninebehaviorusingmachinelearning AT aleksandrsinitca objectivevideobasedassessmentofadhdlikecaninebehaviorusingmachinelearning AT sergeyromanov objectivevideobasedassessmentofadhdlikecaninebehaviorusingmachinelearning AT dmitriikaplun objectivevideobasedassessmentofadhdlikecaninebehaviorusingmachinelearning |