Browse > Article
http://dx.doi.org/10.6109/jkiice.2011.15.4.935

A Development of the Next-generation Interface System Based on the Finger Gesture Recognizing in Use of Image Process Techniques  

Kim, Nam-Ho (호남대학교 인터넷콘텐츠학과)
Abstract
This study aims to design and implement the finger gesture recognizing system that automatically recognizes finger gestures input through a camera and controls the computer. Common CCD cameras were redesigned as infrared light cameras to acquire the images. The recorded images go through the pre-process to find the hand features, the finger gestures are read accordingly, and an event takes place for the follow-up mouse controlling and presentation, and finally the way to control computers is suggested. The finger gesture recognizing system presented in this study has been verified as the next-generation interface to replace the mouse and keyboard for the future information-based units.
Keywords
finger gesture recognizing; computer interface; image process; infrared camera;
Citations & Related Records
연도 인용수 순위
  • Reference
1 T. S. Huang, V. I. Pavlovic, "Hand Gesture Modeling, Analysis, and Synthesis", Proc. of International Workshop on Automatic Face- and Gesture- Recognition (IWAFGR), Zurich, Switzerland, June 26-28, 1995
2 송준환, 강효주, 김광백, "FCM 알고리즘을 이용한 지화인식", 한국해양정보통신학회 2008 춘계종합학술대회, pp. 353-358, 2008. 5.
3 민승기, 정기철 외, "한글 지화 인식에 최적화된 데이터 글로브 시스템", 2007 한국컴퓨터종합학술대회 논문집 Vol. 34. No. 1, 2007.
4 Kostas N. Tarchanidis and John N. Lygouras. "Data Glove With a Force Sensor", IEEE Transactions on Instrumentation and Measurement, VOL. 52, NO. 3. 2003.
5 David J.Sturman and David Zeltzer. "A Survey of Glove-based Input. Computer Graphics and Applications", IEEE, 1994.
6 J. Lee, T. L. Knuii, "Model-based analysis of hand posture", IEEE Computer Graphics Application, pp.77-86, 1995.
7 C. C. Lien, C. L. Huang, "Model-based articulated hand motion tracking for Gesture recognition", Image andVision Computing 16 pp.121-134, 1998   DOI   ScienceOn
8 S. Tamura, S. Kawasaki, "Recognition of sign language motion images", Pattern Recognition 21(4) pp.343-353, 1988   DOI   ScienceOn
9 Essential Reality Corp. http://www.essentialreality.com/
10 Carnegie Mellon University Wearable Group, http://www.weqrablegroup.org/
11 Immersion Corp. http://www.immersion.com/
12 Kinect-Introduction. http://kinect.gamespot.com/