CHI '03 Extended Abstracts on Human Factors in Computing Systems
Using keyboards with head mounted displays
VRCAI '04 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry
AirGrabber: virtual keyboard using miniature infrared camera and tilt sensor
Proceedings of the 2005 international conference on Augmented tele-existence
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
IEEE Transactions on Pattern Analysis and Machine Intelligence
UbiHand: a wearable input device for 3D interaction
ACM SIGGRAPH 2006 Research posters
Tracking-based interaction for object creation in mobile augmented reality
Proceedings of the 21st ACM international conference on Multimedia
A virtual touchscreen with depth recognition
AUIC '12 Proceedings of the Thirteenth Australasian User Interface Conference - Volume 126
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We developed a system which performs 3D motion tracking of human's hand and fingers from images of a single high-frame-rate camera and that recognizes his/her typing motion in the air. Our template-matching-based method using hand textures reduces background effect and enables markerless tracking. In addition, use of a high-frame-rate camera enables recognition of rapid typing motion which is difficult to track using standard cameras. In order to realize real-time recognition, we developed hardware which parallelizes and accelerates image processing. As a result, we achieved real-time recognition of typing motion with the throughput of 138 fps (frames per second) and the latency of 29 ms.