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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

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Published on: July 22, 2025

Augmentative communication based on realtime vocal cord vibration detection.

Tiago H Falk1, Julie Chan, Pierre Duez

  • 1Bloorview Research Institute/Bloorview Kids Rehab, Toronto, ON, Canada. tiago.falk@ieee.org

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|January 15, 2010
PubMed
Summary
This summary is machine-generated.

A novel vocal cord vibration sensor offers a robust, noise-insensitive binary switch for severe disabilities. This assistive technology reduces user exertion and outperforms traditional sound-based systems.

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Area of Science:

  • Assistive Technology
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Existing speech-based access technologies struggle with environmental noise and user artifacts.
  • Prolonged usage of current systems can lead to user fatigue and increased exertion.

Purpose of the Study:

  • To propose a novel binary switch system for individuals with severe disabilities.
  • To leverage vocal cord vibrations for a more robust and less strenuous user interface.

Main Methods:

  • A dual-axis accelerometer was noninvasively placed on a neckband near the vocal cords.
  • The normalized cross-correlation function analyzed anterior-posterior and superior-inferior accelerometry signals.
  • Periodic vocal cord vibrations were detected to trigger the binary switch.

Main Results:

  • The proposed system demonstrated insensitivity to environmental noise.
  • The system showed increased robustness against artifacts like coughs.
  • Experiments indicated superior performance compared to a commercial sound-based system in sensitivity, task time, and user-perceived exertion.

Conclusions:

  • The vocal cord vibration-based binary switch is a promising assistive technology for individuals with severe disabilities.
  • This system offers significant advantages in noise immunity, artifact rejection, and user comfort.
  • The technology provides a more efficient and less demanding alternative to existing speech-based access methods.