DogChat: A Pet-centered Smart Collar Prototype based on Large Language Models and Wechat

This study explores how large language models (LLMs) based smart collars can enable pets to express themselves and interact with their owners through social media. We proposed DogChat: a pet-centered prototype system that captures real-time visual and auditory data in first person from pets through smart collars and utilizes LLMs for pets' behavior and emotion analysis. The system operates in three phases: Pet Profile Construction, Daily Experience Reconstruction, and Behavior Learning Integration. Through the WeChat platform, pets can actively share their status and alert to abnormal events, or respond passively to owner inquiries.