Research on emotion recognition method of police dogs based on deep learning

Jiaqi Chen; Haiwen Feng; Shuai Qi; Jiafeng Liu

doi:10.1117/12.3004335

16 August 2023 Research on emotion recognition method of police dogs based on deep learning

Jiaqi Chen, Haiwen Feng, Shuai Qi, Jiafeng Liu

Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 127872C (2023) https://doi.org/10.1117/12.3004335
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China

Abstract

Background: At present, artificial intelligence has been widely used in fields such as facial recognition. Since facial expression is the most direct feature of emotion, it can be used to predict the emotional state of police dogs by recognizing facial expression. In our study, we developed and experimentally analyzed an improved method to predict the emotions of police dogs through deep learning to recognize their expressions. Methods: We sifted through and analyzed public dog data sets on the Internet. Finally, it was decided to use the dog data set published by Stanford University, and the categories of dogs were accurately divided and marked manually. Emotion recognition and experimental analysis of police dogs were carried out by using group recombination residual network. Results: Through experimental analysis and comparison with existing methods, the accuracy of this method is 6% higher than that of the method based on residual network, and the accuracy is up to 89%. In addition, the number and size of the model parameters are reduced. Conclusion: Through experimental analysis and comparison with other mainstream identification networks, this method has a good advantage in the number of network parameters. Compared with other methods, the residual network based on group recombination can significantly improve the accuracy of emotion recognition for police dogs.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaqi Chen, Haiwen Feng, Shuai Qi, and Jiafeng Liu "Research on emotion recognition method of police dogs based on deep learning", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 127872C (16 August 2023); https://doi.org/10.1117/12.3004335

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Police

Emotion

Convolution

Facial recognition systems

Deep learning

Network architectures

Animals

Show All Keywords

Keywords/Phrases

Search In:

Publication Years