CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10806 > Article
Paper
9 August 2018 Algorithm of 3D hand posture recognition with space coordinates based on optimal feature selection
Tian Zhang, Yu Zhang, Ruimei Li
Author Affiliations +
Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108060I (2018) https://doi.org/10.1117/12.2502939
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
It is of great significance to recognize hand posture since people with hearing and speech disabilities use sign language as the main medium of communication. To eliminate the shortcoming of low recognition rate caused by the redundant features in the traditional 3D hand posture recognition methods, an algorithm of 3D hand posture recognition with space coordinates based on optimal feature selection is proposed in this paper, which innovatively combines with XGBoost method. And three main steps involved are feature extraction, optimal feature selection and posture recognition respectively. Firstly, self-defined attributes and features are extracted from 3D coordinate data collected by Leap Motion Controller. Then, the XGBoost model combined with cross validation is employed to select optimal features from different attributes. Finally, the selected features instead of all extracted features are then fed into Gaussian Naive Bayes classifier to recognize the target posture. The proposed method is experimented on different data sequences containing ten heavily-used postures of Chinese Sign Language. The experimental results show that after processed by optimal feature selection, the proposed method can achieve higher recognition rate than the traditional methods, and reduce the number of training samples by half at the peak recognition rate.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Tian Zhang, Yu Zhang, and Ruimei Li "Algorithm of 3D hand posture recognition with space coordinates based on optimal feature selection", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060I (9 August 2018); https://doi.org/10.1117/12.2502939
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D modeling
Data modeling
Feature extraction
Feature selection
Detection and tracking algorithms
Statistical modeling
3D acquisition
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top