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Effect of age on human-computer-interface control via neck electromyography.

Gabrielle L Hands1, Cara E Stepp2

  • 1Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA.

Interacting with Computers
|March 1, 2016
PubMed
Summary

Older adults showed increased visuomotor tracking errors using neck muscle surface electromyography (sEMG) compared to younger adults. This suggests challenges in using neck sEMG for computer control in older populations.

Keywords:
accessibilityageassistive technologiesnovel interaction paradigms

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Surface electromyography (sEMG) offers potential for assistive technology.
  • Neck musculature can be modulated for computer control, aiding individuals with motor impairments.
  • Age-related changes in motor control may impact the efficacy of sEMG-based interfaces.

Purpose of the Study:

  • To investigate the effect of age on visuomotor tracking performance using neck sEMG.
  • To assess the feasibility of computer control via neck musculature for different age groups.
  • To identify age-related differences in translating neck muscle activity into computer commands.

Main Methods:

  • Thirty-two healthy adults (16 younger, 16 older) participated.
  • Participants performed visuomotor tracking tasks by modulating neck sEMG with real-time visual feedback.
  • Root-mean-squared (RMS) error quantified tracking performance across varying target amplitudes.

Main Results:

  • Older adults exhibited significantly higher RMS error than younger adults.
  • Tracking performance degraded more in older adults as target amplitude increased.
  • Age-related differences were observed in the static tracking performance of anterior neck musculature.

Conclusions:

  • Visuomotor tracking using neck sEMG is more challenging for older adults.
  • Translating neck sEMG-based human-computer interfaces for static tasks may be less effective in older populations.
  • Further research is needed to optimize assistive technologies for diverse age groups.