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An Adaptive Visual Gesture Based Interface for Human Machine Interaction in Intelligent Workspaces

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4 Author(s)
Abraham Prieto ; Integrated Group for Engineering Research, Universidade da Coruña, Spain ; F. Bellas ; R. J. Duro ; F. Lopez-Pena

This paper describes the implementation of an artificial neural network based adaptive hand positioning and gesture recognition system for multimodal interfaces in intelligent workspaces. The system is based on a stereo vision system and provides a series of mechanisms for an efficient segmentation of the arm-hand structure over the screen and its description in terms of moments that can be used by a neural network based structure in order to provide position and gesture classification results. These can be adapted to the user's desires through an interaction and feedback mechanism permitting a natural mutual learning process between the system and the human

Published in:

2006 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems

Date of Conference:

10-12 July 2006