Shared control strategies for human-machine interface in an intelligent wheelchair

Area of Science:

• Robotics
• Assistive Technology
• Human-Computer Interaction

Background:

• Intelligent wheelchairs aim to enhance mobility for individuals with impairments.
• Existing systems may not adequately balance user control with necessary safety assistance.
• Supporting users with combined impairments (mobility, visual, cognitive, upper limb) presents unique challenges.

Purpose of the Study:

• To introduce a shared control mechanism for intelligent wheelchairs.
• To enable user participation in movement while ensuring safe operation.
• To assist individuals with mobility impairments, including those with additional sensory, motor, or cognitive deficits.

Main Methods:

• Development of a shared control system integrating user input and autonomous safety features.
• Utilizing sensors (e.g., URG-04LX) and a user interface to gather movement and environmental data.
• Implementing an algorithm to analyze data, assess safety, and decide between user control and system assistance.

Main Results:

• The shared control mechanism effectively supports users with various impairments.
• Experimental data confirmed the system's ability to provide necessary assistance for safe navigation.
• High user satisfaction was reported, indicating the system's effectiveness and usability.

Conclusions:

• The proposed shared control system offers a viable solution for intelligent wheelchairs.
• It successfully balances user autonomy with essential safety support.
• This technology has the potential to significantly improve the quality of life for individuals with complex mobility challenges.