Affiliations: Department of Electronics Communication Engineering, National Kaohsiung Institute of Marine Technology, Taiwan | Department of Electrical Engineering, National Cheng Kung University, Taiwan | Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Taiwan | Department of Chemical Engineering, I‐Shou University, Taiwan
Note: [] Corresponding author: Cheng‐Hong Yang, Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415, Chien‐Kung Road, Kaohsiung, Taiwan 807.
Abstract: Morse code is now being harnessed for use in rehabilitation applications of augmentative‐alternative communication and assistive technology, including mobility, environmental control and adapted worksite access. In this paper, Morse code is selected as a communication adaptive device for disabled persons who suffer from muscle atrophy, cerebral palsy or other severe handicaps. A stable typing rate is strictly required for Morse code to be effective as a communication tool. This restriction is a major hindrance. Therefore, a switch adaptive automatic recognition method with a high recognition rate is needed. The proposed system combines counter‐propagation networks with a variable degree variable step size LMS algorithm. It is divided into five stages: space recognition, tone recognition, learning process, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison to alternative methods in the literature.
Keywords: Morse code, adaptive signal processing, counter‐propagation network, least‐mean‐square algorithm
