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ABSTRACT
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.
INDEX TERMS
character recognition, Graffiti-like alphabet, ubiquitous computing, wearable computing
CITATION
Volkan Atalay, Oguz Özün, A. Enis Çetin, C. Öncel Tüzel, Ömer Faruk Özer, "Vision-Based Single-Stroke Character Recognition for Wearable Computing", IEEE Intelligent Systems, vol. 16, no. , pp. 33-37, May/June 2001, doi:10.1109/5254.940024
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