Applying gesture command input method for pen-based group KJ system

Abstract

For effective digitizing of the group KJ-method (GKJ) activity, we had proposed a label capture system that utilizes an Anoto-based digital pen. The Former GKJ system can digitize the position and content of not only labels but also normal handwritten text. However, advanced edit operations such as changing the text color and emphasizing labels using a digital pen cannot be performed. In this paper, we propose an advanced edit operation method using handwritten notes. Recognition of handwritten notes can distinguish between normal handwriting and special edit gesture commands on labels. We have improved the GKJ system to handle these special gesture commands for advanced edit operations. © 2011 Springer-Verlag.