Earticle

초록

영어

Among the various hand gestures, pointing gesture is highly intuitive, and does not require any priori assumptions. A major problem for pointing gesture recognition is the difficulty of pointing fingertip tracking and the unreliability of the direction estimation. A novel real-time method is developed for pointing gesture recognition using Kinect based depth image and skeletal points tracking. An adaptive virtual touch screen is constructed instead of estimating pointing direction. When a user stands in a certain distance from a large screen to perform pointing behaviors, he interacts with the virtual touch screen as if it is just right in front of him. The proposed method is suitable for both large and small pointing gestures, and it’s not subject to users’ characteristics and environmental changes. Experiments have highlighted that the proposed approach is robust and efficient to realize human-computer interaction based on pointing gesture recognition by comparisons.

목차

Abstract
 1. Introduction
 2. Pointing Gesture Recognition
  2.1. Pointing Hand Segmentation
  2.2. Pointing Fingertip Detection
  2.3. Pointing Fingertip Tracking
  2.4. Pointing Gestures Recognition
 3. Virtual Touch Screen Construction
  3.1. Kinect Coordinate System
  3.2. Virtual Touch Screen
 4. Experimental Results and Analysis
  4.1. Experimental Environment
  4.2. Recognition of Pointing Gestures
  4.3. Target Selection
 5. Conclusions
 Acknowledges
 Reference

키워드

저자

• Pan Jing [ School of Communication and Information Engineering, Shanghai University ]
• Guan Ye-peng [ School of Communication and Information Engineering, Shanghai University, Key Laboratory of Advanced Displays and System Application, Ministry of Education ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605