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Sensors 2010, 10(1), 374-387; doi:10.3390/s100100374
Article

Building Intelligent Communication Systems for Handicapped Aphasiacs

1,2,*  and 3
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.
Received: 12 November 2009 / Revised: 10 December 2009 / Accepted: 15 December 2009 / Published: 5 January 2010
(This article belongs to the Section Physical Sensors)
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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 handicapped aphasiacs; data glove; finger gestures; finger language; neural network
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Fu, Y.-F.; Ho, C.-S. Building Intelligent Communication Systems for Handicapped Aphasiacs. Sensors 2010, 10, 374-387.

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