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1

Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, KeeLung Road, Taipei 106, Taiwan

2

Department of Management of Information Systems, China University of Technology, No. 56, Section 3, Shinglung Road, Wenshan District, Taipei 116, Taiwan

3

Department of Information Technology and Communication, Tuangnan University, No. 152, Section 3, PeiShen Road, ShenKeng, Taipei 22202, Taiwan





*

Author to whom correspondence should be addressed.



Abstract This paper presents an intelligent system allowing handicapped aphasiacs to perform basic communication tasks. It has the following three key features: 1 A 6-sensor data glove measures the finger gestures of a patient in terms of the bending degrees of his fingers. 2 A finger language recognition subsystem recognizes language components from the finger gestures. It employs multiple regression analysis to automatically extract proper finger features so that the recognition model can be fast and correctly constructed by a radial basis function neural network. 3 A coordinate-indexed virtual keyboard allows the users to directly access the letters on the keyboard at a practical speed. The system serves as a viable tool for natural and affordable communication for handicapped aphasiacs through continuous finger language input. View Full-Text

Keywords: handicapped aphasiacs; data glove; finger gestures; finger language; neural network handicapped aphasiacs; data glove; finger gestures; finger language; neural network





Autor: Yu-Fen Fu 1,2,* and Cheng-Seen Ho 3

Fuente: http://mdpi.com/



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