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

  • Authors:
  • Xugang Wang;Junfeng Li;Xiang Ao;Gang Wang;Guozhong Dai

  • Affiliations:
  • Chinese Academic of Science, Beijing, China;Chinese Academic of Science, Beijing, China;Chinese Academic of Science, Beijing, China;France Telecom Research & Development Beijing, Beijing, China;Chinese Academic of Science, Beijing, China

  • Venue:
  • Proceedings of the 11th international conference on Intelligent user interfaces
  • Year:
  • 2006

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Abstract

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.