OK, so maybe this isn’t the greatest invention for society, but purely as a technological trick, it’s pretty neat.
A group from the University of Washington has figured out how to adjust the sensing mechanism behind a mobile keyboard to take into account the effects of walking — making it easier to accurately text a friend or send an email from a phone while on the move.
The project, dubbed WalkType, uses the accelerometer inside a phone to sense when someone is walking and make the adjustment on the fly. The visible keyboard doesn’t move on the screen, but the behind-the-scenes sensing mechanism adjusts for the effect of stepping.
The team (Mayank Goel, Computer Science and Engineering Ph.D. student; Dr. Leah Findlater, UW Information School postdoctoral fellow; and Dr. Jacob Wobbrock, UW iSchool professor) has implemented a prototype inside a custom iPhone app, and they’re now planning an Android implementation, which will allow for better access to the underlying operating system.
Maybe this is a commentary on my own bad habits, but WalkType was one my personal favorites among some 70 projects on display last night during an open house and poster session at the Computer Science and Engineering Department’s annual Industrial Affiliates meeting.
The annual Madrona Prize, handed out by Madrona Venture Group, went to UW student Gabe Cohn and the “Humantenna” project, which uses a receiver on the human body to determine a person’s position in relation to electrical noise emanating from a home’s wiring system.
With a bit of machine learning, a computer program can analyze the variations in that signal to figure out the particular gesture a person is making — raising the possibility of interaction similar to the Xbox 360 Kinect sensor, without actually requiring the Kinect sensor. Other applications include the ability to control home systems such as lighting by touching a wall, after programming the computer to recognize and act on that gesture.
Cohn is the lead researcher on the project, working with Microsoft Research’s Desney Tan and Dan Morris, as well as UW professor Shwetak Patal, whose work involving home electrical signals recently won him a MacArthur Genuis Award.
The People’s Choice Award went to “Paper to Digital,” a project by students Nicola Dell and Nathan Breit that uses a mobile device to accurately scan and digitize paper reporting sheets from health workers in the field.
(Note: The references to Leah Findlater and Jacob Wobbrock have been corrected since the original post.)