Computer Studies Bldg. Room 209
Our interactions with computing continue to expand off of the desktop
and into our everyday activities, but today’s mobile interfaces are
dominated by touch screens and buttons that work poorly when computing
is not the primary task. For example, a mobile phone’s touchscreen can
be difficult or impossible to use when wearing gloves, the buttons of
a music player can be hard to find and manipulate by a jogger, and
almost all physical interfaces become inaccessible when carrying
grocery bags, children, or luggage. In this talk, I will present my
dissertation research that explores techniques to harness the untapped
bandwidth of the human body for physiological based human-computer
interfaces. The focus of this work is muscle-computer interfaces which
enable finger-based input without a physical input device by learning
and classifying finger gestures through sensing forearm muscle
activity from the surface of the skin.
Bio: T. Scott Saponas is a Microsoft Research Graduate Fellow and a PhD
candidate in the Computer Science and Engineering department at the
University of Washington advised by Professor James Landay and Dr.
Desney Tan. His research interests include Human-Computer Interaction
(HCI), Ubiquitous Computing (UbiComp), and Physiological Computing.
Scott received his B.S. in Computer Science from the Georgia Institute
of Technology in 2004 where he was advised by Gregory Abowd. He
received his M.S. in Computer Science and Engineering in 2006 from the
University of Washington.
Refreshments provided at 10:45AM