IEEE Computer Graphics and Applications
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Embodiment in conversational interfaces: Rea
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Model-Based Analysis of Hand Posture
IEEE Computer Graphics and Applications
Detection of Fingertips in Human Hand Movement Sequences
Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
DigitEyes: Vision-Based Human Hand Tracking
DigitEyes: Vision-Based Human Hand Tracking
| Hi-index | 0.00 |
This paper describes work in progress on the development of a plug-in automatic gesture recogniser intended for a human-computer natural speech-and-gesture dialogue interface module. A model-based approach is suggested for the gesture recognition. Gesture models are built from models of the trajectories selected finger tips traverse through physical 3D space of the human gesturer when he performs the different gestures of interest. Gesture capture employs in the initial version a data glove, later computer vision is intended. The paper outlines at a general level the gesture model design and argues for its choice, as well as the rationale behind the entire work is laid forth. As the recogniser is not yet fully implemented no test results can be presented so far.