Counter-propagation network with variable degree variable step size LMS for single switch typing recognition.
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.
Yang
Cheng-Huei
CH
Department of Electronics Communication Engineering, National Kaohsiung Institute of Marine Technology, Taiwan.
Luo
Ching-Hsing
CH
Yang
Cheng-Hong
CH
Chuang
Li-Yeh
LY
D000328:Adult; D000465:Algorithms; D001185:Artificial Intelligence; D002547:Cerebral Palsy / Q000534:rehabilitation*; D003143:Communication Devices for People with Disabilities; D005260:Female; D006801:Humans; D008297:Male; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface; D015443:Word Processing / Q000379:methods