Modern methods and tools for assessing the problematic behavior of companion dogs: an analytical review
https://doi.org/10.32634/0869-8155-2025-399-10-58-70
Abstract
The need to develop and apply comprehensive methods for analyzing the behavior of companion dogs is associated with the possibility of early detection of behavioral signs of decreased well-being. Conducting surveys and retrospective data analysis may show insufficient accuracy. Visual observation by a person in the process of analyzing behavior is accompanied by high labor intensity and the probability of error due to the subjectivity of perception. From this perspective, the use of video recordings, sensors of motor activity, and the use of neural networks for data analysis can provide more valid information. The analysis revealed a weak understanding in the Russian literature of the possibility of using artificial intelligence technology in the analysis of animal behavior. In this regard, this review highlights the issue of using accelerometry and computer vision systems to analyze the level of motor activity in dogs. The identification of behavioral patterns and their dynamics in a given time interval can be used to assess the psychoemotional state, the level of anxiety and stress, the characteristics of interaction with humans, other animals and behavior in different situations. It can be assumed that this comprehensive approach will create an opportunity for the objective identification of dogs with behavioral disorders. Together with the analysis of vocalizations, this can provide more accurate and detailed information about the communication of dogs, their psycho-emotional state, and also contribute to the early detection of problems.
About the Authors
A. S. Fomina
Don State Technical University
Russian Federation
Russian Federation
Anna Sergeevna Fomina - Candidate of Biological Sciences, Associate Professor,
1 Gagarin Square, Rostov-on-Don, 344003
P. V. Vasiliev
Don State Technical University
Russian Federation
Russian Federation
Pavel Vladimirovich Vasiliev - Candidate of Technical Sciences,
1 Gagarin Square, Rostov-on-Don, 344003
A. A. Krikunova
Don State Technical University
Russian Federation
Russian Federation
Anastasia Anatolyevna Krikunova - applicant,
1 Gagarin Square, Rostov-on-Don, 344003
A. M. Ermakov
Don State Technical University
Russian Federation
Russian Federation
Alexey Mikhailovich Ermakov - Doctor of Biological Sciences, Professor,
1 Gagarin Square, Rostov-on-Don, 344003
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For citations:
Fomina A.S., Vasiliev P.V., Krikunova A.A., Ermakov A.M. Modern methods and tools for assessing the problematic behavior of companion dogs: an analytical review. Agrarian science. 2025;(10):58-70. (In Russ.) https://doi.org/10.32634/0869-8155-2025-399-10-58-70
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