Multimodal error correction for continuous handwriting recognition in pen-based user interfaces

In this paper, we describe a multimodal error correction mechanism. It allows the user to correct errors in continuous handwriting recognition naturally by simultaneously using pen gesture and speech. A multimodal fusion algorithm is designed to enhance recognition accuracies of handwriting and speech through cross-modal influence. We have performed preliminary evaluation experiments and the results show that this multimodal mechanism can efficiently correct the errors in continuous handwriting recognition.