January 2010
Queen's Human Media Lab
Queen's Human Media Lab
The Human Media Lab is one of Canada's premier media laboratories. Its mandate is to develop disruptive technologies and new ways of working with computers that are viable 10 to 20 years from now. We are currently working on the design of Organic User Interfaces (Oui!), an exciting new paradigm that allows computers to have any shape or form.
GestureTek
GestureTek

GestureTek, creates interactive displays for TV weathermen, museums, and hotels using three-dimensional cameras that can distinguish the hand movements of users. From a soft punch up into the air to turn on the TV, to a twist of the hand to change channels, or raising the volume with an upward pat, these simple gestures can be detected by the cameras and interpreted by specially-designed computer chips.
Project Natal
Project Natal
You Are the Controller.
Introducing Project Natal, a revolutionary new way to play: no controller required. See a ball? Kick it, hit it, trap it or catch it. If you know how to move your hands, shake your hips or speak you and your friends can jump into the fun -- the only experience needed is life experience.
Hermes Project (Human Expressive Representations of Motion and their Evaluation in Sequences)
Hermes Project (Human Expressive Representations of Motion and their Evaluation in Sequences)
HERMES concentrates on how to extract descriptions of human behaviour from video sequences in a restricted discourse domain, such as:
Weird Universe
Weird Universe
Weird Universe explores every aspect of a human and natural cosmos that is not only "stranger than we imagine, but stranger than we can imagine."
Read the Web"
Read the Web"
Carnegie Mellon University (CMU) researchers are developing the Never-Ending Language Learning (NELL) system, a computer that can master semantics by learning more like a human. NELL was provided with basic knowledge in various categories and connected to the Web with a mission to teach itself. "For all the advances in computer science, we still don't have a computer that can learn as humans do, cumulatively, over the long term," says CMU professor Tom M. Mitchell.