Abstract

Gesture recognition provides a more natural method for interacting in the field of human-computer interaction. The current popular VR glasses either use a handle as the device to interact with the virtual scene, or integrate the gesture recognition system into the VR glasses. The former mode is inconvenient and unnatural, while the latter has poor stability due to the awkward position. The input devices for the current vision-based sign language recognition systems usually have fixed positions, which makes it impossible for users to use them anytime and anywhere. Therefore, this paper proposes a gesture recognition method based on the image acquisition belt which is fastened on the user’s waist, so as to improve the user friendliness and obtain stable gesture information.

Details

Title
Gesture Recognition Based on the Image Acquisition Belt
Author
Han Zhao Zhu 1 ; Yu, Kun Bo 1 ; Zhi Li Xue 1 ; Jia Cheng Li 1 ; Ming Hui Sun 1 

 College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, China 
Publication year
2018
Publication date
Sep 2018
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2572552345
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.