Multimodal integration of natural gaze behavior for intention recognition during object manipulation
Proceedings of the 2009 international conference on Multimodal interfaces
Lift-and-drop: crossing boundaries in a multi-display environment by Airlift
Proceedings of the International Conference on Advanced Visual Interfaces
Eye gaze assisted human-computer interaction in a hand gesture controlled multi-display environment
Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction
Local Binary Pattern based features for sign language recognition
Pattern Recognition and Image Analysis
Robust hand tracking in realtime using a single head-mounted RGB camera
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
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Video-based recognition of hand symbols is a promising technology for designing new interaction techniques for multi-user environments of the future. However, most approaches still lack performance for direct application for human-computer interaction (HCI).In this paper we propose a novel approach to contour-based recognition of hand symbols for HCI. We present adequate methods for normalization and representation of signatures extracted from boundary contours, which allow for efficient recognition of hand poses invariant to translation, rotation, scale and viewpoint variations, which are relevant for many applications in HCI. The developed classification system is evaluated on a dataset containing 13 hand symbols captured from four different persons.