Hand Posture Recognition Using Real-Time Artificial Evolution

Abstract. 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 Cit

• Type: Conference
• Year: 2010
• Where: EVOW
• Authors: Benoit Kaufmann, Jean Louchet, Evelyne Lutton
• Keywords: Artificial Intelligence, EVOW 2010, Gestural Man-machine Interface, Hand Posture Recognition, Parameter Space