Next Article in Journal
Characterization, Modeling and Design Parameters Identification of Silicon Carbide Junction Field Effect Transistor for Temperature Sensor Applications
Previous Article in Journal
Binary Fingerprints at Fluctuation-Enhanced Sensing
Article Menu

Export Article

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

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 / Revised: 10 December 2009 / Accepted: 15 December 2009 / Published: 5 January 2010
(This article belongs to the Section Chemical Sensors)


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 (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & 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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top