General Terms

Accelerometers are common on many devices, including those required for text-entry. We investigate how to enter text with devices that are solely enabled with accelerome-ters. The challenge of text-entry with such devices can be overcome by the careful investigation of the human limita-tions in gestural movements with accelerometers. Prelimi-nary studies provide insight into two potential text-entry designs that purely use accelerometers for gesture recogni-tion. In two experiments, we evaluate the effectiveness of each of the text-entry designs. The first experiment involves novice users over a 45 minute period while the second in-vestigates the possible performance increases over a four day period. Our results reveal that a matrix-based text-entry system with a small set of simple gestures is the most effi-cient (5.4wpm) and subjectively preferred by participants