Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities

Cheng-Hong YANG; Li-Yeh CHUANG; Cheng-Huei YANG; Ching-Hsing LUO

doi:10.1093/ietfec/e89-a.7.1995

Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities

Cheng-Hong YANG, Li-Yeh CHUANG, Cheng-Huei YANG, Ching-Hsing LUO

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In this paper, Morse code is selected as a communication adaptive device for persons whose hand coordination and dexterity are impaired by such ailments as amyotrophic lateral sclerosis, multiple sclerosis, muscular dystrophy, and other severe handicaps. Morse code is composed of a series of dots, dashes, and space intervals, and each element is transmitted by sending a signal for a defined length of time. A suitable adaptive automatic recognition method is needed for persons with disabilities due to their difficulty in maintaining a stable typing rate. To overcome this problem, the proposed method combines the support vector machines method with a variable degree variable step size LMS algorithm. The method is divided into five stages: tone recognition, space recognition, training process, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison to alternative methods from the literature.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.7 pp.1995-2002

Publication Date: 2006/07/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e89-a.7.1995

Type of Manuscript: PAPER

Category: Digital Signal Processing

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Cheng-Hong YANG, Li-Yeh CHUANG, Cheng-Huei YANG, Ching-Hsing LUO, "Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities" in IEICE TRANSACTIONS on Fundamentals, vol. E89-A, no. 7, pp. 1995-2002, July 2006, doi: 10.1093/ietfec/e89-a.7.1995.
Abstract: In this paper, Morse code is selected as a communication adaptive device for persons whose hand coordination and dexterity are impaired by such ailments as amyotrophic lateral sclerosis, multiple sclerosis, muscular dystrophy, and other severe handicaps. Morse code is composed of a series of dots, dashes, and space intervals, and each element is transmitted by sending a signal for a defined length of time. A suitable adaptive automatic recognition method is needed for persons with disabilities due to their difficulty in maintaining a stable typing rate. To overcome this problem, the proposed method combines the support vector machines method with a variable degree variable step size LMS algorithm. The method is divided into five stages: tone recognition, space recognition, training process, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison to alternative methods from the literature.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.7.1995/_p

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@ARTICLE{e89-a_7_1995,
author={Cheng-Hong YANG, Li-Yeh CHUANG, Cheng-Huei YANG, Ching-Hsing LUO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities},
year={2006},
volume={E89-A},
number={7},
pages={1995-2002},
abstract={In this paper, Morse code is selected as a communication adaptive device for persons whose hand coordination and dexterity are impaired by such ailments as amyotrophic lateral sclerosis, multiple sclerosis, muscular dystrophy, and other severe handicaps. Morse code is composed of a series of dots, dashes, and space intervals, and each element is transmitted by sending a signal for a defined length of time. A suitable adaptive automatic recognition method is needed for persons with disabilities due to their difficulty in maintaining a stable typing rate. To overcome this problem, the proposed method combines the support vector machines method with a variable degree variable step size LMS algorithm. The method is divided into five stages: tone recognition, space recognition, training process, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison to alternative methods from the literature.},
keywords={},
doi={10.1093/ietfec/e89-a.7.1995},
ISSN={1745-1337},
month={July},}

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TY - JOUR
TI - Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1995
EP - 2002
AU - Cheng-Hong YANG
AU - Li-Yeh CHUANG
AU - Cheng-Huei YANG
AU - Ching-Hsing LUO
PY - 2006
DO - 10.1093/ietfec/e89-a.7.1995
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2006
AB - In this paper, Morse code is selected as a communication adaptive device for persons whose hand coordination and dexterity are impaired by such ailments as amyotrophic lateral sclerosis, multiple sclerosis, muscular dystrophy, and other severe handicaps. Morse code is composed of a series of dots, dashes, and space intervals, and each element is transmitted by sending a signal for a defined length of time. A suitable adaptive automatic recognition method is needed for persons with disabilities due to their difficulty in maintaining a stable typing rate. To overcome this problem, the proposed method combines the support vector machines method with a variable degree variable step size LMS algorithm. The method is divided into five stages: tone recognition, space recognition, training process, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison to alternative methods from the literature.
ER -