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An Innovative Device Based on Human-Machine Interface (HMI) for Powered Wheelchair Control for Neurodegenerative

Arrigo Palumbo¹, Nicola Ielpo¹, Barbara Calabrese²

¹Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.

Sensors (Basel, Switzerland)

|August 10, 2024

Summary

This study introduces a mixed reality system using HoloLens 2 for controlling robotic wheelchairs, reducing cognitive load for users with limited mobility. The innovative platform enhances accessibility and explores applications in remote control and telemedicine.

Keywords:

HoloLens augmented reality head-mounted display mixed reality remote control smart wheelchairs telemedicine user interface virtual reality

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Area of Science:

Medical Technology
Human-Computer Interaction
Robotics

Background:

Technological advancements enable virtual, augmented, and mixed reality (MR) to transform healthcare.
Robotic wheelchairs offer mobility solutions for individuals with physical limitations.
Existing control systems can impose significant cognitive demands on users.

Purpose of the Study:

To present a novel MR-based system for controlling a robotic wheelchair.
To reduce the cognitive load associated with wheelchair operation.
To demonstrate the system's effectiveness in realistic scenarios.

Main Methods:

Integration of a smart wheelchair with an eye-tracking-enabled head-mounted display (HoloLens 2).
Development of an augmented reality (AR) user interface for wheelchair control.
Evaluation of the system with 11 healthy subjects in simulated real-world conditions.

Main Results:

The MR system successfully enabled control of the robotic wheelchair.
The proposed platform demonstrated reduced cognitive requirements for wheelchair navigation.
Effectiveness was validated through realistic scenario testing.

Conclusions:

The HoloLens 2-based MR system shows significant potential for controlling robotic wheelchairs.
This technology can enhance patient autonomy for individuals with severe disabilities.
Emerging applications include remote control, cognitive rehabilitation, and telemedicine.