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09 Nov 10
Description: http://www.chrisharrison.net/projects/skinput
We present Skinput, 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.
Published at ACM CHI 2010.
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. To appear 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.
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09 Mar 10
Description: http://www.chrisharrison.net/projects/skinput We present Skinput, 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. Published at ACM CHI 2010. 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. To appear 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.
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06 Mar 10
Description: http://www.chrisharrison.net/projects/skinput We present Skinput, 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. Published at ACM CHI 2010. 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. To appear 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.
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06 Mar 10
Description: http://www.chrisharrison.net/projects/skinput We present Skinput, 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. Published at ACM CHI 2010. 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. To appear 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.
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05 Mar 10
Description: Technology allows devices to become smaller and smaller. Humans, on the other hand, remain roughly the same size, which can make interacting with such small devices cumbersome. Skinput uses the human body as an input surface for small electronic devices.
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04 Mar 10
Description: http://www.chrisharrison.net/projects/skinput We present Skinput, 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. Published at ACM CHI 2010. 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. To appear 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.
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04 Mar 10
Description: http://www.chrisharrison.net/projects/skinput We present Skinput, 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. Published at ACM CHI 2010. 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. To appear 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.