Jefferson Y. Han
From Wikipedia, the free encyclopedia
Jefferson Y. Han is a research scientist for New York University's (NYU) Courant Institute of Mathematical Sciences, and one of the main developers of an "interface-free" touch-driven computer screen. The screen is based on "multi-touch sensing," which is similar to existing touch-screen interfaces but able to recognize multiple points of contact.
Jeff Han also works on other projects in the fields of autonomous robot navigation, motion capture, real-time computer graphics, and human-computer interaction.
He presented his multi-touch sensing work in February 2006 at the TED (Technology Entertainment Design) Conference in Monterey, California. TED released the video online 6 months later and it spread quickly on YouTube.
Han has founded a company called Perceptive Pixel to develop his touch screen technology further, and he has already shipped touch screens to parts of the military.[1]Han's technology has been featured most notably as the "Magic Wall" on CNN's Election Center coverage [2]
Han studied computer science and electrical engineering for three years at Cornell University before leaving to join a start-up company to commercialize the CU-SeeMe video-conferencing software that he helped develop while an undergraduate at Cornell.[1]
Han was named to Time Magazine's 2008 listing of the 100 Most Influential People in The World.[3]
[edit] References
- ^ a b Can't Touch This Fast Company, February 2007
- ^ CNN clarifies complex caucus cavalcade with new ‘Magic Wall’. BroadcastEngineering (January 4, 2008). Retrieved on 2008-03-03.
- ^ Jeff Han - The 2008 TIME 100 - TIME.
[edit] External links
- Jeff Han's Multitouch Demo (II) (2007Mar21)
- Jeff Han: A year later (Wired Magazine)
- Jeff Han demonstrating multi-touch interface on big screen
- Jeff Han's 10 min Talk at TED Conference (2006) Monterey, CA
- Jeff Han homepage at NYU
- Specific Multi-Touch Sensing work - includes video
- Transcript of a presentation delivered at ETech on 7 March 2006
- Presentation over YouTube
- Perceptive Pixel

