Skinput: Training and testing the classifier (CHI 2010)



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http://www.chrisharrison.net/projects/skinput/ Skinput is a technology that appropriates the human body for acoustic transmission, allowing the skin to be used as a finger input surface. In particular, we resolve the location of finger taps on the arm and hand by analyzing mechanical vibrations that propagate through the body. We collect these signals using a novel array of sensors worn as an armband. This approach provides an always-available, naturally-portable, and on-body interactive surface. To illustrate the potential of our approach, we developed several proof-of-concept applications on top of our sensing and classification system. Researchers Chris Harrison - Carnegie Mellon University Desney Tan - Microsoft Research Dan Morris - Microsoft Research Harrison, C., Tan, D. Morris, D. 2010. Skinput: Appropriating the Body as an Input Surface. In Proceedings of the 28th Annual SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, April 10 - 15, 2010). CHI '10. ACM, New York, NY.

Published by: Chris Harrison Published at: 14 years ago Category: علمی و تکنولوژی