CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12592 > Article
Paper
25 March 2023 Confidence-selective moving trace approximation using ellipse and line models for hand gesture recognition
You-Jia Wu, Jian-Jiun Ding
Author Affiliations +
Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 125920P (2023) https://doi.org/10.1117/12.2665335
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of
Abstract
Hand gestures play an important role in human-computer interaction (HCI) system. Areas of applications such as sign language recognition, virtual environment, video games and even surgery require people to interact with devices directly with hands. In this paper, we propose a vision-based system to deal with dynamic hand gesture recognition. We focus on 6 types of gestures: 4 directions for swipe and 2 orientations for rotation. The hand gesture can be identified based on the moving trace of the hand in different video frames. However, different from existing algorithms, the proposed method applies the techniques of ellipse and line approximation to well identify the moving trace and reduce the effect of noise. Moreover, the confidence of each frame is determined by the velocity and the continuity of the motion vector. The frame with less confidence will not be adopted in hand gesture approximation. We also develop a face-based skin region detection to adaptively choose a proper color model. The proposed system is hardware-efficient and can achieve a good accuracy.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
You-Jia Wu and Jian-Jiun Ding "Confidence-selective moving trace approximation using ellipse and line models for hand gesture recognition", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 125920P (25 March 2023); https://doi.org/10.1117/12.2665335
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
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Gesture recognition
Skin
Image segmentation
Object detection
Detection and tracking algorithms
Facial recognition systems
Human computer interaction
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top