Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Avocado: A Distributed Virtual Reality Framework
VR '99 Proceedings of the IEEE Virtual Reality
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
Processing Iconic Gestures in a Multimodal Virtual Construction Environment
Gesture-Based Human-Computer Interaction and Simulation
To move or to remove?: a human-centric approach to understanding gesture interpretation
Proceedings of the Designing Interactive Systems Conference
Gestures in assisted living environments
GW'11 Proceedings of the 9th international conference on Gesture and Sign Language in Human-Computer Interaction and Embodied Communication
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So far, approaches towards gesture recognition focused mainly on deictic and emblematic gestures. Iconics, viewed as iconic signs in the sense of Peirce, are different from deictics and emblems, for their relation to the referent is based on similarity. In the work reported here, the breakdown of the complex notion of similarity provides the key idea towards a computational model of gesture semantics for iconic gestures. Based on an empirical study, we describe first steps towards a recognition model for shape-related iconic gestures and its implementation in a prototype gesture recognition system. Observations are focused on spatial concepts and their relation to features of iconic gestural expressions. The recognition model is based on a graph-matching method which compares the decomposed geometrical structures of gesture and object.