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Chris Harrison

Researcher at Carnegie Mellon University

Publications -  176
Citations -  9846

Chris Harrison is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Touchscreen & Mobile device. The author has an hindex of 47, co-authored 175 publications receiving 8457 citations. Previous affiliations of Chris Harrison include AT&T & M&Co..

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Proceedings ArticleDOI

TeslaTouch: electrovibration for touch surfaces

TL;DR: The proposed technology is based on the electrovibration principle, does not use any moving parts and provides a wide range of tactile feedback sensations to fingers moving across a touch surface, which enables the design of a wide variety of interfaces that allow the user to feel virtual elements through touch.
Proceedings ArticleDOI

Skinput: appropriating the body as an input surface

TL;DR: Skinput, a technology that appropriates the human body for acoustic transmission, allowing the skin to be used as an input surface, is presented, resolving the location of finger taps on the arm and hand by analyzing mechanical vibrations that propagate through the body.
Proceedings ArticleDOI

OmniTouch: wearable multitouch interaction everywhere

TL;DR: OmniTouch is a wearable depth-sensing and projection system that enables interactive multitouch applications on everyday surfaces and is conceivable that anything one can do on today's mobile devices, they could do in the palm of their hand.
Proceedings ArticleDOI

Touché: enhancing touch interaction on humans, screens, liquids, and everyday objects

TL;DR: The rich capabilities of Touché are demonstrated with five example setups from different application domains and experimental studies that show gesture classification accuracies of 99% are achievable with the technology.
Proceedings ArticleDOI

Abracadabra: wireless, high-precision, and unpowered finger input for very small mobile devices

TL;DR: Abracadabra is presented, a magnetically driven input technique that offers users wireless, unpowered, high fidelity finger input for mobile devices with very small screens, able to offer a high C-D gain, enabling fine motor control.