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AMiCUS-A Head Motion-Based Interface for Control of an Assistive Robot.

Nina Rudigkeit1, Marion Gebhard2

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

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Summary

AMiCUS, a novel human-robot interface, allows individuals with tetraplegia to control robot arms using only head movements. This empowers independent task completion, demonstrating intuitive control and high user acceptance.

Keywords:
AHRSIMUassistive technologygesture recognitionhead controlhuman-machine interactionmotion sensorsreal-time controlrobot controltetraplegia

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Area of Science:

  • Rehabilitation Engineering
  • Human-Robot Interaction
  • Assistive Technology

Background:

  • Individuals with severe motor impairments, such as tetraplegia, often face significant challenges in performing daily tasks independently.
  • Existing assistive technologies may have limitations in intuitiveness, precision, or applicability across a wide range of user abilities.

Purpose of the Study:

  • To introduce and evaluate AMiCUS, a Human-Robot Interface (HRI) system designed for tetraplegics.
  • To assess the usability, performance, and safety of controlling a multi-degree of freedom robot arm using only head motion.
  • To determine the system's effectiveness for users with varying degrees of head motion limitation and prior experience.

Main Methods:

  • Development of the AMiCUS system, including hardware, software, and signal processing for head motion control.
  • Conducting a volunteer study with able-bodied subjects and individuals with tetraplegia.
  • Implementing and evaluating two distinct pick-and-place tasks, assessing usability via questionnaires and objective performance metrics (completion rate, interaction time).

Main Results:

  • The head-to-robot motion mapping was found to be intuitive, with provided feedback enhancing control.
  • The system demonstrated smooth, precise, and efficient robot arm control, leading to high user acceptance.
  • Objective measures indicated successful task completion, with no unintended robot movements, suggesting good safety potential.
  • AMiCUS proved effective for all participants, irrespective of their prior experience or head motion limitations.

Conclusions:

  • AMiCUS offers a viable and effective solution for enabling individuals with tetraplegia to perform manipulation tasks using head motion.
  • The system's intuitive design, precise control, and broad applicability suggest a positive prognosis for its use in assistive robotics and product development.
  • Further development could enhance independence and quality of life for a wide range of users with motor impairments.