Vision-based single-stroke character recognition for wearable computing

• Published in: IEEE intelligent systems Vol. 16; no. 3; pp. 33 - 37
• Main Authors: Ozer, O.F., Ozun, O., Tuzel, C.O., Atalay, V., Cetin, A.E.
• Format: Journal Article
• Language: English
• Published: Los Alamitos IEEE 01.05.2001; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Application software; Character recognition; Communication systems; Computation; Computer programs; Data entry; Digital cameras; Face recognition; Handheld computers; Human-computer interaction; Keyboards; Mice; Mobile communication; Recognition; Speech recognition; Wearable; Wearable computers; United States > US
• ISSN: 1541-1672; 1941-1294
• DOI: 10.1109/5254.940024

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.