Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 13, July 2022

A Social-Driven Intelligent System to Assist the Classification of Pet Emotions
using Deep Learning and Big Data Analysis


Hans Li1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA


Pets have always been a big part of families, and people always imagine what their pet is thinking by their actions and face [1]. However, No one can tell what a pet might be thinking unless they are very familiar with them [2]. This paper develops/designs/proposes an application/software/tool to... [There is an AI that could try to understand the pet’s emotion, and people can share their photos to other pet lovers on the app, which will further make the AI more accurate [3]. We applied our application to people who have pets of all kind and conducted a qualitative evaluation of the approach. The results show that [the AI is decently accurate and the app is fairly easy to use from feed backs made by testers. And the AI have the potential to get more accurate in the future with the more data customers posts, and thus will give more accurate results back to the users].


Social-Driven, Machine Learning, Classification.