Title :
An Adaptive Visual Gesture Based Interface for Human Machine Interaction in Intelligent Workspaces
Author :
Prieto, Abraham ; Bellas, F. ; Duro, R.J. ; Lopez-Pena, F.
Author_Institution :
Integrated Group for Eng. Res., Univ. da Coruna
Abstract :
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
Keywords :
gesture recognition; human computer interaction; neural nets; stereo image processing; adaptive hand positioning; adaptive visual gesture based interface; arm-hand structure segmentation; artificial neural network; feedback mechanism; gesture analysis; gesture classification; gesture recognition system; human machine interaction; intelligent workspaces; interactive workspaces; multimodal interfaces; natural mutual learning; position classification; stereo vision system; Artificial intelligence; Artificial neural networks; Data mining; Humans; Infrared detectors; Infrared imaging; Intelligent networks; Machine intelligence; Motion detection; Shape; Human machine interfaces; artificial neural networks; gesture analysis; interactive workspaces;
Conference_Titel :
Virtual Environments, Human-Computer Interfaces and Measurement Systems, Proceedings of 2006 IEEE International Conference on
Conference_Location :
La Coruna
Print_ISBN :
1-4244-0242-5
Electronic_ISBN :
1-4244-0243-3
DOI :
10.1109/VECIMS.2006.250788