Real-time hand posture recognition using range data
Image and Vision Computing
Simplified Hand Configuration for Object Manipulation
EuroHaptics '08 Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios
An iterative approach for fitting multiple connected ellipse structure to silhouette
Pattern Recognition Letters
A multi-view vision-based hand motion capturing system
Pattern Recognition
A method for single hand fist gesture input to enhance human computer interaction
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
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In this paper, a 3D hand model fitting method is presented which can recover the accurate finger positions for a virtual keyboard system. The 3D hand model consists of a detailed polygonal skin driven by an underlying skeleton system. The system uses a structured light sensor to generate dense range measurements of user's hand motion. We exploit depth information and match it against the model to estimate the pose of the hand. The parameters for model deformation are optimized with the guide of the applied forces between model points and range measurements. To speed up the optimization, we simplify the physical model and apply hash table-based fast point pair matching. The system can be used in any application requiring zero formfactor and requires no contact with a medium. Examples of applications include virtual reality, gaming, design, etc.