WalkType [10] helps users to type on a touchscreen while walking. It uses accelerometer data to predict and account for misplaced touch events and corrects the user input with a language model and a model of common typing errors. Gomez et al. [11] propose a Dasher-like [12] system for text entry controlled by accelerometers. Approaches that are closely related to ours are PhonePointPen [13] and Airwriting [14]. These systems allow a user to write in the air similar to the process of writing on a blackboard, which requires the user to make fairly large writing gestures in contrast to the small movements required in our approach. Both PhonePoint-Pen and Airwriting use dedicated handwriting recognition systems built for motion-based input. In contrast, our system uses an “off-the-shelf” handwriting recognition system leveraging the efforts of the handwriting recognition community over several decades without further modifications. This is possible because the reconstructed writing paths of our system match how users write with a pen on paper. This has the advantage that recognition can easily be extended to more languages, scripts, and symbols by replacing the recognition backend.
walktype [ 10 ]