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Updated: May 25, 2026

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

Command detection and classification in tongue drive assistive technology.

Elnaz Banan Sadeghian1, Xueliang Huo, Maysam Ghovanloo

  • 1GT-Bionics Lab, School of Electrical and Computer Engineering at Georgia Institute of Technology, Atlanta, GA, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
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A new Tongue Drive System (TDS) algorithm enhances environmental control for individuals with severe disabilities. This advanced sensor signal processing improves tongue motion command detection, offering greater independence.

Area of Science:

  • Assistive Technology
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Individuals with severe disabilities, like spinal cord injury (SCI), often face challenges in environmental control.
  • Tongue Drive System (TDS) offers a promising assistive technology solution utilizing tongue movements.

Purpose of the Study:

  • To develop and evaluate a novel sensor signal processing (SSP) algorithm for the Tongue Drive System (TDS).
  • To improve the accuracy and reliability of detecting and classifying user-control commands from tongue motion.

Main Methods:

  • Developed a new SSP algorithm utilizing four 3-axial magneto-resistive sensors.
  • Implemented a two-stage classification approach with 9 classifiers to distinguish seven distinct tongue-controlled commands.

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  • Evaluated the algorithm's performance on five able-bodied subjects in both stationary and mobile conditions.

    • Main Results:

    • The new SSP algorithm achieved high true positive rates (70-99%) across various commands.
    • False positive rates were maintained at a low range (5-7%).
    • Demonstrated significant improvements in true-false (TF) differences compared to previous algorithms.

    Conclusions:

    • The novel SSP algorithm represents a significant advancement for the Tongue Drive System (TDS).
    • This technology enhances environmental control capabilities for individuals with severe disabilities, including those with SCI.
    • The improved command detection accuracy supports greater user independence and interaction with their surroundings.