The Recognition and Analysis of Pet Facial Expression Using DenseNet-Based Model

Zhengchen Wu

2023

Abstract

The research topic revolves around the recognition of pet facial expressions, a subject of growing importance in understanding the emotional states of animals, particularly pets. The primary objective of this study is to develop an effective model for pet facial expression recognition. This paper proposes a novel approach, leveraging the dense network (DenseNet) architecture, to address this challenge. Specifically, method involves the utilization of DenseNet’s dense connectivity patterns to capture intricate features in pet facial expressions. This paper employs pre-trained weights from DenseNet121, implement data augmentation techniques, and fine-tune the model to improve its adaptability and recognition capabilities. This study is conducted on the Pet’s Facial Expression Image Dataset, encompassing facial expressions of emotions in various categories of pets. The experimental results demonstrate the efficacy of the proposed approach. The model exhibits substantial progress in recognizing pet emotions, as indicated by impressive training accuracy. In conclusion, this research marks a significant step forward in pet facial expression recognition, with potential applications in veterinary care and enhancing pet-owner interactions. Understanding pet emotions through facial expressions has practical implications for animal welfare and human-animal communication. This research contributes to the development of tools and methods that can aid in improving the well-being of pets and strengthening the bond between pets and their owners.

Paper Citation

in Harvard Style

Wu Z. (2023). The Recognition and Analysis of Pet Facial Expression Using DenseNet-Based Model. In Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-705-4, SciTePress, pages 427-432. DOI: 10.5220/0012800000003885

in Bibtex Style

@conference{daml23,
author={Zhengchen Wu},
title={The Recognition and Analysis of Pet Facial Expression Using DenseNet-Based Model},
booktitle={Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2023},
pages={427-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012800000003885},
isbn={978-989-758-705-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - The Recognition and Analysis of Pet Facial Expression Using DenseNet-Based Model
SN - 978-989-758-705-4
AU - Wu Z.
PY - 2023
SP - 427
EP - 432
DO - 10.5220/0012800000003885
PB - SciTePress