Behavioral Analysis of Dog using Machine Learning

Machine learning is a dynamic field enabling computers to learn from historical data via diverse algorithms, applicable in image recognition, voice ID, email filtering, and more. In veterinary research and animal welfare, behavioural analysis of companion animals is vital. This article provides a brief overview of the evolving role of machine learning in analysing and understanding dog behaviour. With the use of ML (machine learning) algorithms and advanced data, scientist can better understand dog behaviour to improve their health and interactions with humans. This review covers data collection techniques, extraction techniques, and potential applications and summarizes the broad perspectives of the field. Machine learning in behaviour analysis promises to transform our understanding of dog behaviour by providing researchers and practitioners with effective tools to assess and improve dog health and promote healthy interactions between dogs and humans. For those interested in the intersection of machine learning and dog behaviour analysis, this brief summary is useful and provides insight into the growth and impact of a promising field.