Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
From Hough to Darwin: An Invidual Evolutionary Strategy Applied to Artificial Vision
AE '99 Selected Papers from the 4th European Conference on Artificial Evolution
Dynamic hand gesture recognition using the skeleton of the hand
EURASIP Journal on Applied Signal Processing
Activity classification for interactive game interfaces
International Journal of Computer Games Technology - Joint International Conference on Cyber Games and Interactive Entertainment 2006
An Improved Algorithm of Hand Gesture Recognition under Intricate Background
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Real-time multiview recognition of human gestures by distributed image processing
Journal on Image and Video Processing - Special issue on fast and robust methods for multiple-view vision
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Hand detection by direct convexity estimation
ASB'03 Proceedings of the 1st international conference on Advanced Studies in Biometrics
Hi-index | 0.00 |
In this paper, we present a hand posture recognition system (configuration and position) we designed as part of a gestural man-machine interface. After a simple image preprocessing, the parameter space (corresponding to the configuration and spatial position of the user’s hand) is directly explored using a population of points evolved via an Evolution Strategy. Giving the priority to exploring the parameter space rather than the image, is an alternative to the classical generalisation of the Hough Transform and allows to meet the real-time constraints of the project. The application is an Augmented Reality prototype for a long term exhibition at the Cité des Sciences, Paris. As it will be open to the general public, rather than using conventional peripherals like a mouse or a joystick, a more natural interface has been chosen, using a microcamera embedded into virtual reality goggles in order to exploit the images of the user’s hand as input data and enable the user to manipulate virtual objects without any specific training.