Vision-based single-stroke character recognition for wearable computing

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Date

2001-05-01

Author

Ozer, OF
Ozun, O
Tuzel, CO
Atalay, Mehmet Volkan
Cetin, AE

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Particularly when compared to traditional tools such as a keyboard or mouse, wearable computing data entry tools offer increased mobility and flexibility. Such tools include touch screens, hand gesture and facial expression recognition, speech recognition, and key systems. We describe a new approach for recognizing characters drawn by hand gestures or by a pointer on a user's forearm captured by a digital camera. We draw each character as a single, isolated stroke using a Graffiti-like alphabet. Our algorithm enables effective and quick character recognition. The resulting character recognition system has potential for application in mobile communication and computing devices such as phones, laptop computers, handheld computers and personal data assistants.

Subject Keywords

Character recognition, Wearable computers, Handheld computers, Speech recognition, Keyboards , Mice , Face recognition, Digital cameras, Application software, Mobile communication

URI

https://hdl.handle.net/11511/48857

Journal

IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS

DOI

https://doi.org/10.1109/5254.940024

Collections

Department of Computer Engineering, Article

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Citation Formats

O. Ozer, O. Ozun, C. Tuzel, M. V. Atalay, and A. Cetin, “Vision-based single-stroke character recognition for wearable computing,” IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS, pp. 33–37, 2001, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48857.