Building Intelligent Communication Systems for Handicapped Aphasiacs

Sensors

Yu-Fen Fu¹ 

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

关键词: handicapped aphasiacs;    data glove;    finger gestures;    finger language;    neural network;   

DOI  :  10.3390/s100100374

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
©2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.