AUTHORS: Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park

Download as PDF

ABSTRACT: This paper proposes a method to control an object on a screen by extracting information about a hand with a depth camera. The proposed method employs an appropriate rectangular region, then extracts the hand by setting the arm as a certain size through vector information. The method employs a convex hull to set a reference coordinate of the hand within the coordinate. The object on the screen is moved or scaled by verifying whether the thumb and index finger are stuck together or not through the extraction of the outline of the hand. The location of the hand is represented through a library capable of implementing 3D. An experiment was conducted with the proposed method and verified the operation of the command on the object.

KEYWORDS: Air Grip, Grip, Gesture Recognition, 3D Object Control, Hand Gesture, Space Control

REFERENCES:

[1] Jinha Lee, Alex Olwal, Hiroshi Ishii, and CatiBoulanger, SpaceTop :Intergration 2D and Spatial 3D Interaction in See-through Desktop Environment, In Proceeding of SIGCHI, 2013, pp. 189-192.

[2] Suzuki. S. and Abe. K, 'Topological Structural Analysis of Digitized Binary Images by Border Following,' CVGIP, 1985, pp. 32-46.

[3] Intel Corporation. Open Source Computer Vision Library reference manual, Dec. 2000.

[4] Andrew D, 'Using a depth camera as a touch sensor,' ACM International Conference on Interactive Tabletops and Surfaces, 2010, pp. 69-72.

[5] Sklansky. J, 'Finding the convex hull of a simple polygon,' PRL 1 1982, pp. 79-83.

[6] K. Homma and E. I. Takenake, 'An image processing method for feature extraction of space-occupying lesions,' Journal of Nuclear Medicine 26, 1985, pp. 1472-1477.

[7] Grewal, Mohinder, 'Kalman filtering : Theroy and Practice Using Matlab,' John Wiley & Sons Inc, 2008.