Surface drawing: creating organic 3D shapes with the hand and tangible tools
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Meaningful Gestures for Human Computer Interaction: Beyond Hand Postures
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Hand Gesture Recognition Using Input-Output Hidden Markov Models
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
3D Freeform Design: Interactive Shape Deformations by the Use of CyberGlove
CW '04 Proceedings of the 2004 International Conference on Cyberworlds
Evaluation of a haptic mixed reality system for interactions with a virtual control panel
Presence: Teleoperators and Virtual Environments - Special section: Legal, ethical, and policy issues associated with virtual environments and computer mediated reality
Markerless tracking of complex human motions from multiple views
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
Viewpoint invariant sign language recognition
Computer Vision and Image Understanding
Multimodal human-computer interaction: A survey
Computer Vision and Image Understanding
A novel form design and CAD modelling approach
Computers in Industry
Augmented and Virtual Reality techniques for footwear
Computers in Industry
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This paper presents a novel method for rapidly generating 3D architectural models based on hand motion and design gestures captured by a motion capture system. A set of sign language-based gestures, architectural hand signs (AHS), has been developed. AHS is performed on the left hand to define various ''components of architecture'', while ''location, size and shape'' information is defined by the motion of Marker-Pen on the right hand. The hand gestures and motions are recognized by the system and then transferred into 3D curves and surfaces correspondingly. This paper demonstrates the hand gesture-aided architectural modeling method with some case studies.