Building intelligent communication systems for handicapped aphasiacs.
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.
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, KeeLung Road, Taipei 106, Taiwan. yfen@cute.edu.tw
Yu-Fen
YF
Fu
Cheng-Seen
CS
Ho
D001037:Aphasia / Q000534:rehabilitation*; D001185:Artificial Intelligence; D003143:Communication Devices for People with Disabilities; D004867:Equipment Design; D019544:Equipment Failure Analysis; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D012813:Sign Language; D014584:User-Computer Interface