Gesture Recognition Method Based on Attention Mechanism for Complex Background

Human-computer interaction technology is still an unaccomplished goal due to complex background and changeable lighting conditions. A two-stage gesture recognition method is proposed to improve the accuracy of gesture recognition. The first stage combines attention mechanism and atrous spatial pyram...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2021-04, Vol.1873 (1), p.12009
Main Authors: Jianchun, Geng, Jiannuan, Geng, Lili, Wen
Format: Article
Language:English
Subjects:
Artificial neural networks
Gesture recognition
Physics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Human-computer interaction technology is still an unaccomplished goal due to complex background and changeable lighting conditions. A two-stage gesture recognition method is proposed to improve the accuracy of gesture recognition. The first stage combines attention mechanism and atrous spatial pyramid pooling (ASPP) which aims to segment gesture from complex background. The second stage uses a two stream convolutional neural network, combines features from the original picture and the output of the first stage, aims to realize the classification of gestures. It can recognize gestures more accurately compared with other gesture recognition methods.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1873/1/012009