Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Morse code recognition system with fuzzy algorithm for disabled persons.

C-M Wu1, C-H Luo

  • 1Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, Taiwan, ROC.

Journal of Medical Engineering & Technology
|December 19, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Incommensurate Magnetism Drives Singular Angular Magnetoresistance in the Magnetic Weyl Semimetal CeAlGe.

Physical review letters·2026
Same author

Magnon profile on SrRuO<sub>3</sub> films studied by inelastic neutron scattering.

Physical review. B·2024
Same author

Effect of one bout of local vibration exercise with blood flow restriction on neuromuscular and hormonal responses.

Physiology international·2018
Same author

Long non-codingRNA (lncRNA) TUG1 and the prognosis of cancer: a meta-analysis.

Cellular and molecular biology (Noisy-le-Grand, France)·2017
Same author

Association between alpha-adducin gene rs4963 polymorphism and hypertension risk in Asian population: a meta-analysis.

Cellular and molecular biology (Noisy-le-Grand, France)·2017
Same author

Multidimensional evaluation of vocal quality in children with cochlear implants: a cross-sectional, case-controlled study.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery·2013
Same journal

News and Product Update.

Journal of medical engineering & technology·2026
Same journal

PMMA based ultra miniaturized implantable antenna for biotelemetry applications.

Journal of medical engineering & technology·2026
Same journal

Comparative machine learning for accurate EEG-based epileptic seizure state classification using sub-band analysis.

Journal of medical engineering & technology·2026
Same journal

Genetic algorithm-optimized machine learning approaches for EEG-based silent speech decoding.

Journal of medical engineering & technology·2026
Same journal

Power transition signatures of vibroarthrographic spectrograms for diagnosing knee joint pathologies.

Journal of medical engineering & technology·2026
Same journal

News and product update.

Journal of medical engineering & technology·2026
See all related articles

This study introduces fuzzy algorithms for recognizing unstable Morse code, improving real-time signal processing for disabled individuals. The new method offers better recognition than existing adaptive algorithms and neural networks.

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Signal Processing

Background:

  • Morse code is an efficient input method using long and short sounds, but variations in timing make recognition difficult for disabled users.
  • Existing Morse code recognition methods, like LMS adaptive algorithms and neural networks, require extensive computation or prior learning.
  • LMS algorithms need significant computation, and neural networks require initial data input for training.

Purpose of the Study:

  • To develop a robust Morse code recognition system for unstable input signals.
  • To improve real-time signal processing capabilities for assistive technology.
  • To overcome the limitations of existing Morse code recognition algorithms.

Main Methods:

  • Utilized two fuzzy algorithms for the recognition of unstable Morse code sequences.

Related Experiment Videos

  • Focused on real-time signal processing suitable for single-chip microprocessors.

    • Main Results:

    • Demonstrated significant improvement in the recognition of unstable Morse code signals.
    • The fuzzy algorithms proved effective for real-time processing on microprocessors.
    • Achieved higher recognition accuracy compared to traditional methods.

    Conclusions:

    • Fuzzy algorithms offer a superior approach for recognizing unstable Morse code.
    • The developed method enhances assistive technology for individuals with disabilities.
    • This research contributes to efficient real-time signal processing in microprocessors.