Interaction with Hand Gesture for a Back-Projection Wall
CGI '04 Proceedings of the Computer Graphics International
A Framework for 3D Hand Tracking and Gesture Recognition using Elements of Genetic Programming
CRV '07 Proceedings of the Fourth Canadian Conference on Computer and Robot Vision
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
Hand Shape Recognition Using Fingertips
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
The current feasibility of gesture recognition for a smartphone using J2ME
Proceedings of the 2009 ACM symposium on Applied Computing
Alternate interface technologies emerge
Communications of the ACM
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Fingertip detection with morphology and geometric calculation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Advanced soft remote control system using hand gesture
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Tracking of Fingertips and Centers of Palm Using KINECT
CIMSIM '11 Proceedings of the 2011 Third International Conference on Computational Intelligence, Modelling & Simulation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Visual recognition of continuous hand postures
IEEE Transactions on Neural Networks
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In the last few years gesture recognition and gesture-based human computer interaction has gained a significant amount of popularity amongst researchers all over the world. It has a number of applications ranging from security to entertainment. Gesture recognition is a form of biometric identification that relies on the data acquired from the gesture depicted by an individual. This data, which can be either two-dimensional or three-dimensional, is compared against a database of individuals or is compared with respective thresholds based on the way of solving the riddle. In this paper, a novel method for angle calculation of both hands' bended fingers is discussed and its application to a robotic hand control is presented. For the first time, such a study has been conducted in the area of natural computing for calculating angles without using any wired equipment, colors, marker or any device. The system deploys a simple camera and captures images. The pre-processing and segmentation of the region of interest is performed in a HSV color space and a binary format respectively. The technique presented in this paper requires no training for the user to perform the task.