Emotion Recognition in Dogs Using Deep Learning Techniques

Abstract

Rapid growth of internet technologies and artificial intelligence (AI) is opening up new study areas, including Emotional Analysis (EA), which are becoming major contributors to the Fourth Industrial Revolution (IR 4.0). These advancements pave the way for the transition to IR 5.0, where emotion recognition systems act as bridges between machines and natural interactions. While emotional AI systems have been extensively studied in humans, animal emotion recognition remains relatively unexplored, despite its potential impact on veterinary practice, animal welfare, and human-animal interactions. This paper presents a novel approach to recognizing different emotional states in dogs using deep learning methodologies.