The Experts below are selected from a list of 291 Experts worldwide ranked by ideXlab platform

Chinghsing Luo - One of the best experts on this subject based on the ideXlab platform.

  • Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities
    IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2006
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Cheng-huei Yang, Chinghsing Luo
    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.

  • A NOVEL APPROACH TO MANDARIN Morse Code RECOGNITION
    Biomedical Engineering: Applications Basis and Communications, 2005
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Shih-chung Chen, Chih-kuo Liang, Chinghsing Luo
    Abstract:

    Morse Code, with its single switch operation, has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, and rehabilitation for people with various neuromuscular diseases, such as amyotrophic lateral sclerosis, multiple sclerosis, and muscular dystrophy. A major hindrance is a stable typing rate, which is strictly required for the recognition of Morse Code characters, especially for persons with severe disabilities. In this paper, a combination of two methods, support vector machines and the variable degree variable step least-mean-square algorithm was used to increase the prediction accuracy for Mandarin Morse Code recognition. Experimental findings revealed that the proposed method results in a better recognition rate when compared to alternative methods from the literature.

  • internet access for disabled persons using Morse Code
    International Journal of Computers and Applications, 2004
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Chinghsing Luo
    Abstract:

    Internet resources are proliferating at an ever more rapid pace. Currently, Internet access is one method of quick information retrieval for abled persons using a conventional keyboard. However, a conventional keyboard is prohibitive to a person whose hand coordination and dexterity are impaired by such ailments as muscle atrophy, cerebral palsy, and other severe handicaps. To assist disabled participants in sharing the resources of the Internet, we have designed and implemented an easy-to-operate input interface. Morse Code, with an easily operated two-switch input device, was selected as the adaptive communication tool. Experimental results show that a 14-year-old user with cerebral palsy could easily gain access to the Internet after 2 weeks' practice on the proposed system.

  • Morse Code recognition system with adaptive fuzzy algorithm for the disabled
    Journal of Medical and Biological Engineering, 2002
    Co-Authors: Chinghsing Luo, Mingche Hsieh, Shih-chung Chen, Shu Wen Lin, Chun Tang Chao, Cheng-chi Tai
    Abstract:

    The Morse Code is an efficient tool for the severe disabilities that is always used to represent various characters by a series of long-short sounds. To keep a fixed input speed that is difficult for the disabled people. In order to release the serious limitation of typing speed control, several algorithms were proposed to chase the typing pattern of a user, including adaptive unstable-speed prediction (AUSP), least mean square and matching (LMS&M), adaptive variable-ratio threshold prediction (AVRTP), and the back propagation neural network (BPN). It is successful to solve the problem of the irregular input speed, but the mathematic computation becomes more and more complex. In this study, we try to use fuzzy theory combining with the adaptive algorithm to recognize the Morse Code, expecting to adapt all kinds of variation for users, and raising the recognition rate.

  • UNSTABLE Morse Code RECOGNITION SYSTEM WITH EXPERT-GATING NEURAL NETWORK
    Biomedical Engineering: Applications Basis and Communications, 2002
    Co-Authors: Duu-tong Fuh, Chinghsing Luo
    Abstract:

    The standard Morse Code defines the tone ratio (dash/dot) and the silent ratio (dash-space/dotspace) as 3:1. Since human typing ratio can't keep this ratio precisely and the two ratios —tone ratio and silent ratio—are not equal, the Morse Code can't be recognized automatically. The requirement of the standard ratio is difficult to satisfy even for an ordinary person. As for the unstable Morse Code typing pattern, the auto-recognition algorithms in the literature are not good enough in applications. The disabled persons usually have difficulty in maintaining a stable typing speeds and typing ratios, we therefore adopted an Expert-Gating neural network model to implement in single chip and recognize online unstable Morse Codes. Also, we used another method—a linear back propagation recalling algorithm, to implement in single chip and recognize unstable Morse Codes. From three person tests: Test one is a cerebral palsy; Test two is a beginner: Test three is a skilled expert, we have the results: in the experiment of test one, we have 91.15% (use 6 characters average time series as thresholds) and 91.54% (learning 26 characters) online average recognition rate; test two have 95.77% and 96.15%, and test three have 98.46% and 99.23% respectively. As for linear back propagation recalling method online recognized rate, we have the results from test one: 92.31% online average recognition rate; test two: 96.15%; and test three 99.23% respectively. So, we concluded: The Expert-Gating neural network and the linear back propagation recalling algorithm have successfully overcome the difficulty of analyzing a severely online unstable Morse Code time series and successfully implement in single chip to recognize online unstable Morse Code.

Cheng-hong Yang - One of the best experts on this subject based on the ideXlab platform.

  • An Interactive Wireless Morse Code Learning System
    Encyclopedia of Mobile Computing and Commerce, 2007
    Co-Authors: Cheng-huei Yang, Cheng-hong Yang, Li-yeh Chuang, Jun-yang Chang
    Abstract:

    Morse Code has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, and rehabilitation for some people with various conditions, such as spinal cord injuries, non-vocal quadriplegics, and visual or hearing impairments. In this article, a mobile phone human-interface system using Morse Code input device is designed and implemented for the person with disabilities to send/receive SMS (simple message service) messages or make/respond to a phone call. The proposed system is divided into three parts: input module, control module, and display module. The data format of the signal transmission between the proposed system and the communication devices is the PDU (protocol description unit) mode. Experimental results revealed that three participants with disabilities were able to operate the mobile phone through this human interface after four weeks’ practice.

  • fuzzy support vector machines for adaptive Morse Code recognition
    Medical Engineering & Physics, 2006
    Co-Authors: Cheng-hong Yang, Licheng Jin, Li-yeh Chuang
    Abstract:

    Morse Code is now being harnessed for use in rehabilitation applications of augmentative-alternative communication and assistive technology, facilitating mobility, environmental control and adapted worksite access. In this paper, Morse Code is selected as a communication adaptive device for 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. Therefore, an adaptive automatic recognition method with a high recognition rate is needed. The proposed system uses both fuzzy support vector machines and the variable-degree variable-step-size least-mean-square algorithm to achieve these objectives. We apply fuzzy memberships to each point, and provide different contributions to the decision learning function for support vector machines. Statistical analyses demonstrated that the proposed method elicited a higher recognition rate than other algorithms in the literature.

  • Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities
    IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2006
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Cheng-huei Yang, Chinghsing Luo
    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.

  • A NOVEL APPROACH TO MANDARIN Morse Code RECOGNITION
    Biomedical Engineering: Applications Basis and Communications, 2005
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Shih-chung Chen, Chih-kuo Liang, Chinghsing Luo
    Abstract:

    Morse Code, with its single switch operation, has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, and rehabilitation for people with various neuromuscular diseases, such as amyotrophic lateral sclerosis, multiple sclerosis, and muscular dystrophy. A major hindrance is a stable typing rate, which is strictly required for the recognition of Morse Code characters, especially for persons with severe disabilities. In this paper, a combination of two methods, support vector machines and the variable degree variable step least-mean-square algorithm was used to increase the prediction accuracy for Mandarin Morse Code recognition. Experimental findings revealed that the proposed method results in a better recognition rate when compared to alternative methods from the literature.

  • a wireless emulation management system for learning mandarin phonetic and chanjei Morse Code
    International Conference on Advanced Learning Technologies, 2005
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Shyanglung Lin, Chimin Wang
    Abstract:

    Assistive technology (AT) is becoming increasingly important in improving mobility, language and learning capabilities of persons who have disabilities enabling them to function independently and to improve their social opportunities. Morse Code has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, rehabilitation, and education, as well as adapted computer access methods via special software programs, hardware devices, and switches. In this study, we designed and implemented an interactive Mandarin phonetic/chanjei Morse Code typing emulation system for persons with disabilities, with three adaptive recognition methods.

Li-yeh Chuang - One of the best experts on this subject based on the ideXlab platform.

  • An Interactive Wireless Morse Code Learning System
    Encyclopedia of Mobile Computing and Commerce, 2007
    Co-Authors: Cheng-huei Yang, Cheng-hong Yang, Li-yeh Chuang, Jun-yang Chang
    Abstract:

    Morse Code has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, and rehabilitation for some people with various conditions, such as spinal cord injuries, non-vocal quadriplegics, and visual or hearing impairments. In this article, a mobile phone human-interface system using Morse Code input device is designed and implemented for the person with disabilities to send/receive SMS (simple message service) messages or make/respond to a phone call. The proposed system is divided into three parts: input module, control module, and display module. The data format of the signal transmission between the proposed system and the communication devices is the PDU (protocol description unit) mode. Experimental results revealed that three participants with disabilities were able to operate the mobile phone through this human interface after four weeks’ practice.

  • fuzzy support vector machines for adaptive Morse Code recognition
    Medical Engineering & Physics, 2006
    Co-Authors: Cheng-hong Yang, Licheng Jin, Li-yeh Chuang
    Abstract:

    Morse Code is now being harnessed for use in rehabilitation applications of augmentative-alternative communication and assistive technology, facilitating mobility, environmental control and adapted worksite access. In this paper, Morse Code is selected as a communication adaptive device for 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. Therefore, an adaptive automatic recognition method with a high recognition rate is needed. The proposed system uses both fuzzy support vector machines and the variable-degree variable-step-size least-mean-square algorithm to achieve these objectives. We apply fuzzy memberships to each point, and provide different contributions to the decision learning function for support vector machines. Statistical analyses demonstrated that the proposed method elicited a higher recognition rate than other algorithms in the literature.

  • Adaptive Morse Code Recognition Using Support Vector Machines for Persons with Physical Disabilities
    IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2006
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Cheng-huei Yang, Chinghsing Luo
    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.

  • A NOVEL APPROACH TO MANDARIN Morse Code RECOGNITION
    Biomedical Engineering: Applications Basis and Communications, 2005
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Shih-chung Chen, Chih-kuo Liang, Chinghsing Luo
    Abstract:

    Morse Code, with its single switch operation, has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, and rehabilitation for people with various neuromuscular diseases, such as amyotrophic lateral sclerosis, multiple sclerosis, and muscular dystrophy. A major hindrance is a stable typing rate, which is strictly required for the recognition of Morse Code characters, especially for persons with severe disabilities. In this paper, a combination of two methods, support vector machines and the variable degree variable step least-mean-square algorithm was used to increase the prediction accuracy for Mandarin Morse Code recognition. Experimental findings revealed that the proposed method results in a better recognition rate when compared to alternative methods from the literature.

  • a wireless emulation management system for learning mandarin phonetic and chanjei Morse Code
    International Conference on Advanced Learning Technologies, 2005
    Co-Authors: Cheng-hong Yang, Li-yeh Chuang, Shyanglung Lin, Chimin Wang
    Abstract:

    Assistive technology (AT) is becoming increasingly important in improving mobility, language and learning capabilities of persons who have disabilities enabling them to function independently and to improve their social opportunities. Morse Code has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, rehabilitation, and education, as well as adapted computer access methods via special software programs, hardware devices, and switches. In this study, we designed and implemented an interactive Mandarin phonetic/chanjei Morse Code typing emulation system for persons with disabilities, with three adaptive recognition methods.

Mingche Hsieh - One of the best experts on this subject based on the ideXlab platform.

  • Morse Code recognition system with adaptive fuzzy algorithm for the disabled
    Journal of Medical and Biological Engineering, 2002
    Co-Authors: Chinghsing Luo, Mingche Hsieh, Shih-chung Chen, Shu Wen Lin, Chun Tang Chao, Cheng-chi Tai
    Abstract:

    The Morse Code is an efficient tool for the severe disabilities that is always used to represent various characters by a series of long-short sounds. To keep a fixed input speed that is difficult for the disabled people. In order to release the serious limitation of typing speed control, several algorithms were proposed to chase the typing pattern of a user, including adaptive unstable-speed prediction (AUSP), least mean square and matching (LMS&M), adaptive variable-ratio threshold prediction (AVRTP), and the back propagation neural network (BPN). It is successful to solve the problem of the irregular input speed, but the mathematic computation becomes more and more complex. In this study, we try to use fuzzy theory combining with the adaptive algorithm to recognize the Morse Code, expecting to adapt all kinds of variation for users, and raising the recognition rate.

  • unstable Morse Code recognition with adaptive variable ratio threshold prediction for physically disabled persons
    International Conference of the IEEE Engineering in Medicine and Biology Society, 2000
    Co-Authors: Mingche Hsieh, Chinghsing Luo, Chiwu Mao
    Abstract:

    With one or two changes Morse Code could provide an effective alternative communication channel for individuals with physical limitations. However, most physically disabled persons have difficulties in maintaining a stable typing rate of Morse Code. Hence the automated recognition of unstable Morse Code is becoming more in demand. In this study, an adaptive variable-ratio threshold prediction (AVRTP) algorithm is proposed to analyze the Morse Code time series with variable unit time period and ratio. Two least-mean-square (LMS) predictors are applied to track the dot interval and the dot dash difference concurrently, and then a predicted threshold based on a variable-ratio decision rule is used to distinguish between dots and dashes. The same method is also applied to identify character-spaces. By the adaptive prediction of variable-ratio threshold, AVRTP has successfully overcome the difficulty of analyzing severely unstable Morse Code time series and outperformed the previously proposed adaptive unstable-speed prediction (AUSP) algorithm and LMS and matching (LMS&M) algorithm. This study concludes with a computer simulation and a preliminary clinical evaluation that demonstrate AVRTP as an efficient and reliable method for unstable Morse Code recognition.

  • Morse Code typing training of an adolescent with cerebral palsy using microcomputer technology: case study
    Augmentative and Alternative Communication, 1999
    Co-Authors: Mingche Hsieh, Chinghsing Luo
    Abstract:

    The automatic recognition of unstable Morse Code allows users to type text in Morse Code with varying speeds. However, without individualized training and consistent daily use, a person with physical impairments may find it difficult to obtain a high recognition rate when using automatic recognition devices. For this reason, an interactive training approach implemented on a single-chip microcomputer with immediate visual and auditory feedback is proposed in this study. The training system was applied to an adolescent with cerebral palsy to improve his Morse Code typing rate, stability, and recognition rate via daily practice. After 4 months of training, results from this study show that the participant's performance increased over time.

  • Automatic Morse Code recognition with adaptive variable-ratio threshold prediction for physically impaired persons
    Proceedings of the First Joint BMES EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Mee, 1
    Co-Authors: Chinghsing Luo, Mingche Hsieh
    Abstract:

    With one or two switches, Morse Code could provide an effective alternative communication channel for individuals with physical limitations. However, most of the physically disabled persons have difficulties in maintaining a stable typing of Morse Code, and hence the automated recognition of unstable Morse Code is becoming more on demand. In this study, an Adaptive Variable-Ratio Threshold Prediction (AVRTP) algorithm is proposed to analyze the Morse Code time series with variable unit time period and ratio. Two least-mean-square (LMS) predictors are applied to trace the dot interval and the dot-dash difference concurrently, and then a predicted threshold based on a variable-ratio decision rule is used to distinguish between dots and dashes. The same method is also applied to identify the character-space.

Daqing Zhang - One of the best experts on this subject based on the ideXlab platform.

  • WiMorse: a contactless Morse Code text input system using ambient WiFi signals
    IEEE internet of things journal, 2019
    Co-Authors: Kai Niu, Fusang Zhang, Yuhang Jiang, Jie Xiong, Youwei Zeng, Daqing Zhang
    Abstract:

    Recent years have witnessed advances of Internet of Things (IoT) technologies and their applications to enable contactless sensing and human-computer interaction in smart homes. For people with Motor Neurone Disease (MND), their motion capabilities are severely impaired and they have difficulties interacting with IoT devices and even communicating with other people. As the disease progresses, most patients lose their speech function eventually which makes the widely adopted voice-based solutions fail. In contrast, most patients can still move their fingers slightly even after they have lost the control of their arms and hands. Thus we propose to develop a Morse Code based text input system, called WiMorse, which allows patients with minimal single-finger control to input and communicate with other people without attaching any sensor to their fingers. WiMorse leverages ubiquitous commodity WiFi devices to track subtle finger movements contactlessly and enCode them as Morse Code input. In order to sense the very subtle finger movements, we propose to employ the ratio of the Channel State Information (CSI) between two antennas to enhance the Signal to Noise Ratio. To address the severe location dependency issue in wireless sensing with accurate theoretical underpinning and experiments, we propose a signal transformation mechanism to automatically convert signals based on the input position, achieving stable sensing performance. Comprehensive experiments demonstrate that WiMorse can achieve higher than 95% recognition accuracy for finger generated Morse Code, and is robust against input position, environment changes, and user diversity.

  • a contactless Morse Code text input system using cots wifi devices
    International Symposium on Wearable Computers, 2019
    Co-Authors: Kai Niu, Fusang Zhang, Yuhang Jiang, Zhaoxin Chang, Leye Wang, Daqing Zhang
    Abstract:

    For the patients with speech and motion impairments, there is an indispensable need to facilitate their communication with other people, using approaches such as eyeball tracking. However, these systems are usually complex and expensive. In this demo, we propose a WiFi-based contactless text input system, called WiMorse. The system allows these patients to communicate with other people by using WiFi signals to track single-finger movements and encoding them as Morse Code to input text. However, we note that a small change in the target's location would lead to a significant change in the received WiFi signal pattern, making it impossible to recognize the finger gestures. To tackle this problem, we propose a signal transformation mechanism to obtain a consistent and stable signal pattern at various locations. By deploying only a pair of COTS WiFi devices, WiMorse can achieve real time recognition of finger generated Morse Code with high accuracy, and is robust against input position, environment change, and user diversity.

  • WiMorse: A Contactless Morse Code Text Input System Using Ambient WiFi Signals
    IEEE Internet of Things Journal, 2019
    Co-Authors: Kai Niu, Fusang Zhang, Yuhang Jiang, Jie Xiong, Youwei Zeng, Daqing Zhang
    Abstract:

    Recent years have witnessed advances of Internet of Things (IoT) technologies and their applications to enable contactless sensing and human–computer interaction in smart homes. For people with motor neurone disease (MND), their motion capabilities are severely impaired and they have difficulties interacting with IoT devices and even communicating with other people. As the disease progresses, most patients lose their speech function eventually which makes the widely adopted voice-based solutions fail. In contrast, most of the patients can still move their fingers slightly even after they have lost the control of their arms and hands. Thus, we propose to develop a Morse Code-based text input system, called WiMorse , which allows patients with minimal single-finger control to input and communicate with other people without attaching any sensor to their fingers. WiMorse leverages ubiquitous commodity WiFi devices to track subtle finger movements contactlessly and enCode them as Morse Code input. In order to sense the very subtle finger movements, we propose to employ the ratio of the channel state information (CSI) between two antennas to enhance the signal to noise ratio. To address the severe location dependency issue in wireless sensing with accurate theoretical underpinning and experiments, we propose a signal transformation mechanism to automatically convert signals based on the input position, achieving stable sensing performance. Comprehensive experiments demonstrate that WiMorse can achieve higher than 95% recognition accuracy for finger generated Morse Code, and is robust against input position, environment changes, and user diversity.