IEEE Computer Graphics and Applications
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Model-Based Analysis of Hand Posture
IEEE Computer Graphics and Applications
Recognizing Hand Gesture using Fourier Descriptors
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Gesture Recognition Using Temporal Template Based Trajectories
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Scale-space on image profiles about an object boundary
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A novel gestural input device for virtual reality
VRAIS '93 Proceedings of the 1993 IEEE Virtual Reality Annual International Symposium
Actual remote control: a universal remote control using hand motions on a virtual menu
IEEE Transactions on Consumer Electronics
Vision-based remote control system by motion detection and open finger counting
IEEE Transactions on Consumer Electronics
A low-cost visual motion data glove as an input device to interpret human hand gestures
IEEE Transactions on Consumer Electronics
Australian sign language recognition using moment invariants
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
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Dynamic hand gesture tracking and recognition system can simplify the way humans interact with computers and many other non-critical consumer electronic equipments. This system is based on the well-known "Wave Controller" technology developed at the University of Wollongong [1---3] and certainly a step forward in video gaming and consumer electronics control interfaces. Many computer interfaces used today such as keyboard, mouse, joystick or gaming wheels have constrained the artistic ability of many users, as they are required to respond to the computer through pressing buttons or moving other apparatus. Most of the drawbacks of the modern interfaces can be tackled by using a reliable hand gesture tracking and recognition system based on both Lucas-Kanade and Moment Invariants approaches. The realtime functional ability of this system will enhance the user experience as users are no longer have any physical connection to the equipment being controlled.