Earticle

초록

영어

Kinect v2 sensor does not provide depth information and skeletal traction function in near distance from the sensor. That is why many researches, to recognize hand gestures, are focused on the skeletal tracking only inside the range of detection. This paper proposes a method which can recognize hand gestures in the distance less than 0.5 meter without conventional skeletal tracking when Kinect v2 sensor is used. The proposed method does not use the information of depth sensor and infrared sensor, but detect hand area and count the number of isolated areas which are generated by drawing a circle in the center of the hand area. This method introduces new detectable gestures without high cost, so that it can be a substitute for the existing mouse-movement controlling and dynamic gesture recognition method such as clicking a mouse, clicking and dragging, rotating an image with two hands, and scaling an image with two hands in near distance. The gestures are appropriate for the user interface of smart devices which employ the interactions based on hand gestures in near distance.

목차

Abstract
 1. Introduction
 2. Hand Area Detection in Near Distance
 3. Hand Gesture Recognition
  3.1. Computation of Weight Centers for Hand Areas
  3.2. Division of Hand Areas
 4. The Proposed Method
  4.1. Assumptions and Advantages
  4.2. Recognition of Hand Gestures
  4.3. New Gestures Which Use Z-Axis Information
 4. Experimentation
 5. Conclusions
 References

키워드

저자

• Min-Soo Kim [ Dept. of Info. and Comm. Eng., Hanbat National Univ., Rep. of Korea ]
• Choong Ho Lee [ Graduate School of Info. and Comm. Eng., Hanbat National Univ., Daejeon-City, Rep. of Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605