A novel convolutional neural network for gesture recognition

Yuhui Xiong; Xiaofu Du; Xinghan Huang; Hedan Liu

doi:10.1117/12.2653464

8 December 2022 A novel convolutional neural network for gesture recognition

Yuhui Xiong, Xiaofu Du, Xinghan Huang, Hedan Liu

Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 124741P (2022) https://doi.org/10.1117/12.2653464
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China

Abstract

Gesture recognition, as an important means of human-computer interaction, can achieve more natural and flexible human-computer interaction, so it has been widely concerned by researchers in the field of computer vision. At present, most gesture recognition algorithms are based on monocular visual images and recognize the apparent features of hands. Most gesture image segmentation methods are carried out in color space according to skin color information. These methods are highly susceptible to interference from the external environment, such as lighting, background, etc. Convolutional neural network has the advantages of strong anti-interference and outstanding self-organization and self-learning ability. Therefore, based on the principle of convolutional neural network, a novel deep convolutional neural network dedicated to gesture recognition was designed in this paper. This network combines skin color information with finger position information for gesture recognition. Experimental results showed that the algorithm based on fingertip position information has better performance than the algorithm based solely on skin color information. Moreover, the network has simple structure and few parameters. Compared with VGG16 and other classical networks, the recognition accuracy is basically the same under the premise of fewer parameters and structural layers, and the recognition effect is better than other classical networks.

Citation Download Citation

Yuhui Xiong, Xiaofu Du, Xinghan Huang, and Hedan Liu "A novel convolutional neural network for gesture recognition", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 124741P (8 December 2022); https://doi.org/10.1117/12.2653464

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
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Gesture recognition

Convolutional neural networks

Detection and tracking algorithms

Skin

Data modeling

Image segmentation

Convolution

Show All Keywords

Keywords/Phrases

Search In:

Publication Years