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Published Articles >> Table of Contents >> Abstract
May/June 2001 (Vol. 16, No. 3)
pp. 33-37
Vision-Based Single-Stroke Character Recognition for Wearable Computing
Omer Faruk Ozer
Oguz Ozun
C. Oncel Tuzel
Volkan Atalay
A. Enis Cetin
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/5254.940024
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| Abstract |
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The authors describe a new approach for data entry in wearable computing applications. A head-mounted digital camera records characters drawn by hand gestures or by a pointer on the forearm of the user. Similar to the Graffiti alphabet, the user draws each character in an isolated, single stroke. Based on their algorithm, a bank of finite state machines recognizes and processes the image's chain code to identify each hand-drawn character accurately.
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 References
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 Additional Information
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Index Terms- character recognition, Graffiti-like alphabet, ubiquitous computing, wearable computing
Citation:
Omer Faruk Ozer, Oguz Ozun, C. Oncel Tuzel, Volkan Atalay, A. Enis Cetin,
"Vision-Based Single-Stroke Character Recognition for Wearable Computing,"
IEEE Intelligent Systems,
vol. 16,
no. 3,
pp. 33-37,
May/Jun,
2001
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