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Building Intelligent Communication Systems for Handicapped Aphasiacs
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, KeeLung Road, Taipei 106, Taiwan
Department of Management of Information Systems, China University of Technology, No. 56, Section 3, Shinglung Road, Wenshan District, Taipei 116, Taiwan
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.
Received: 12 November 2009; in revised form: 10 December 2009 / Accepted: 15 December 2009 / Published: 5 January 2010
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.
Keywords: handicapped aphasiacs; data glove; finger gestures; finger language; neural network
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Cite This Article
MDPI and ACS Style
Fu, Y.-F.; Ho, C.-S. Building Intelligent Communication Systems for Handicapped Aphasiacs. Sensors 2010, 10, 374-387.
Fu Y-F, Ho C-S. Building Intelligent Communication Systems for Handicapped Aphasiacs. Sensors. 2010; 10(1):374-387.
Fu, Yu-Fen; Ho, Cheng-Seen. 2010. "Building Intelligent Communication Systems for Handicapped Aphasiacs." Sensors 10, no. 1: 374-387.