A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture

A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture

The perception of animal emotions is key to enhancing veterinary practice, human–animal interactions, and protecting domesticated species’ welfare. This study presents a unique emotion classification deep learning-based approach for pet animals. The actual and emotional status of dogs and cats have...

Full description

Saved in:
Bibliographic Details
Main Authors: Rashadul Islam Sumon, Haider Ali, Salma Akter, Shah Muhammad Imtiyaj Uddin, Md Ariful Islam Mozumder, Hee-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Eng
Subjects:
emotion detection
domestic animal
anger
happy
sad
EfficientNetB5
Online Access:https://www.mdpi.com/2673-4117/6/1/9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2673-4117/6/1/9

Similar Items