All hands, no keyboard: New Handpose technology can track detailed hand motion

Channel:
Microsoft Research
Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=o-j8SIoYGYs


Duration: 0:56
277 views
3

Researchers at Microsoft have developed a system that can track -- in real time -- all the sophisticated and nuanced hand motions that people make in their everyday lives. The Handpose system could eventually be used by everyone from law enforcement officials directing robots into dangerous situations to office workers who want to sort through e-mail or read documents with a few flips of the wrist instead of taps on a keyboard.



Other Videos By Microsoft Research


2016-08-18NIPS: Spotlight Session 7: Reinforcement Learning Spotlights
2016-08-18Tutorial: Computing Game-Theoretic Solutions
2016-08-18NIPS: Spotlight Session 10 - Cognitive Science Spotlights
2016-08-18A Wild Bootstrap for Degenerate Kernel Tests
2016-08-18NIPS: Oral Session 5 - John Carlos Baez
2016-08-18PosterVote Instructional Video
2016-08-18Sriram Rajamani: Assistant Director MSRI, talks about Microsoft Research Fellow Program
2016-08-18David Nemer talks about his stint at MSR India
2016-08-18Konstantinos Vamvourellis talks about his stint at MSR India
2016-08-18Microsoft Band enhancements include machine learning boost
2016-08-18All hands, no keyboard: New Handpose technology can track detailed hand motion
2016-08-18Tutorial: Integrated Information Theory of Consciousness
2016-08-18Tutorial: Differential Privacy and Learning: The Tools, The Results, and The Frontier
2016-08-18NIPS: Spotlight Session 9 - Graphical Models Spotlights, Model Selection
2016-08-18NIPS: Oral Session 9 - Adrian Weller
2016-08-18NIPS: Oral Session 7 - Odalric-Ambryn Maillard
2016-08-18NIPS: Oral Session 8 - Chris J. Maddison
2016-08-18NIPS: Oral Session 8 - Michael Schober
2016-08-18NIPS: Oral Session 1 - Yurii Nesterov
2016-08-18NIPS: Oral Session 8 - Brooks Paige
2016-08-18NIPS: Spotlight Session 6 - Learning Theory Spotlights


Tags:
microsoft research