Patrick Traynor, assistant professor in the School of Computer Science, and colleagues have programmed smartphones to use their accelerometers to detect and decipher strokes on nearby keyboards with up to 80 percent accuracy.
October 16, 2011
ATLANTA – Oct. 18, 2011 – It’s a pattern that no doubt repeats itself daily in hundreds of millions of offices around the world: People sit down, turn on their computers, set their mobile phones on their desks and begin to work. What if a hacker could use that phone to track what the person was typing on the keyboard just inches away?
