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Performance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots.

Sarah Stalljann1, Lukas Wöhle1, Jeroen Schäfer1

  • 1Group of Sensors and Actuators, Department of Electrical Engineering and Applied Physics, Westphalian University of Applied Sciences, 45877 Gelsenkirchen, Germany.

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Summary
This summary is machine-generated.

This study introduces a novel hands-free robot control system using head and eye movements for individuals with limited mobility. The multimodal system shows promise for assistive tasks, particularly for users with tetraplegia.

Keywords:
Fitts’ LawMARGassistive technologycursor controleye trackermotion sensorsrobot controltetraplegia

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Rehabilitation Engineering

Background:

  • Assistive robots aid individuals with limited mobility, but many require residual arm/hand function.
  • Hands-free control systems are crucial for individuals with severe mobility impairments, such as tetraplegia.
  • Combining control modalities can enhance user experience and system performance.

Purpose of the Study:

  • To develop and evaluate a novel multimodal control system for assistive robots using head and eye motions.
  • To assess the performance of head motion (Magnetic Angular Rate Gravity - MARG sensor) and eye tracking for discrete and continuous control tasks.
  • To investigate the usability of the system in a practical assistive scenario, such as supporting a drinking action.

Main Methods:

  • A low-cost, compact multimodal sensor system combining a MARG sensor for head motion and an eye tracker for gaze detection was developed.
  • Experimental evaluation included discrete button activation and 2D continuous cursor control (Fitts's Law task) with ten able-bodied subjects.
  • A usability study was conducted with a collaborative robot assisting a drinking action, including one subject with tetraplegia.

Main Results:

  • Able-bodied subjects showed no significant difference in activation time or throughput between head and eye motion control.
  • Eye tracking resulted in a significantly higher error rate in the Fitts's Law task for able-bodied users.
  • The subject with tetraplegia performed better with eye tracking for button activation and successfully used the system for the drinking task.

Conclusions:

  • The developed head and eye motion control system is a viable hands-free solution for assistive robots.
  • The system demonstrates potential for individuals with severe mobility impairments, including tetraplegia.
  • Further research with a larger cohort of individuals with tetraplegia is recommended to validate these findings.