| FreePad: a novel handwriting-based text input for pen and touch interfaces |
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International Conference on Intelligent User Interfaces
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Proceedings of the 13th international conference on Intelligent user interfaces
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Gran Canaria, Spain
SESSION: Short papers
table of contents
Pages 297-300
Year of Publication: 2008
ISBN:978-1-59593-987-6
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Downloads (6 Weeks): 10, Downloads (12 Months): 126, Citation Count: 0
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ABSTRACT
The last decade has seen tremendous growth in mobile devices such as Pocket PCs, mobile phones, Tablet PCs and notebooks. Most of these devices enable interaction through a stylus or touch interface, powered by handwriting recognition (HWR) capability. In this paper, we propose a novel input method that addresses some of the issues that arise due to the constraints posed by these devices in accepting handwriting input. For instance, many of the devices have a small writing area making "continuous" input difficult if not impossible, and the process of handwriting input demands significant user attention. The proposed solution is inspired by touch-typing, and appreciably reduces user's effort in the interaction, and it is especially suited for very small writing areas. The approach has been demonstrated using a prototype system that recognizes handwritten English words, and its accuracy has been evaluated using a standard dataset of handwritten words. A preliminary user study has also been carried out to understand user acceptance of the proposed technique.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Jaeger, S., Manke, S., Reichert, J., and Waibel, A. Online handwriting recognition: The NPen++ recognizer. International Journal on Document Analysis and Recognition, 3, (2001), 169--180.
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Rabiner, R. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proc. of IEEE, 79(2), (1989), 257--286.
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