Sensetable
James Patten, Gian Antonio Pangaro, Matt Reynolds, Jason Alonso, Joseph Panganiban, Jim Hines, and Professor Hiroshi Ishii

Sensetable is a system that wirelessly tracks the positions of multiple objects on a flat display surface quickly and accurately. The tracked objects have a digital state, which can be controlled by physically modifying them using dials or tokens. We have developed several new interaction techniques and applications on top of this platform. Our current work focuses on business supply chain visualization using system dynamics simulation.



Papers
Sensetable full paper presented at CHI '01

Videos
High Resolution MPEG [352x240]
Low Resolution MPEG [240x160]
High Resolution RealVideo [360x240]
Low Resolution RealVideo [240x160]