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Updated: Jun 1, 2026

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

Performance testing of collision-avoidance system for power wheelchairs.

Edmund F Lopresti¹, Vinod Sharma, Richard C Simpson

¹AT Sciences, LLC, Pittsburgh, PA, USA. edlopresti@at-sciences.com

Journal of Rehabilitation Research and Development

|June 16, 2011

Summary

The Drive-Safe System (DSS) enhances power wheelchair safety for individuals with multiple impairments. This collision-avoidance technology reliably detects obstacles, ensuring safer navigation and independent mobility.

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Area of Science:

Biomedical Engineering
Rehabilitation Engineering
Assistive Technology

Background:

Power wheelchairs are essential for mobility but pose collision risks for users with impairments.
Existing systems may not adequately address combined mobility and sensory/cognitive challenges.
Need for advanced, add-on solutions for enhanced wheelchair navigation and safety.

Purpose of the Study:

To evaluate the engineering performance of the Drive-Safe System (DSS), a novel collision-avoidance system for power wheelchairs.
To assess the DSS's effectiveness in supporting individuals with complex mobility and sensory/cognitive impairments.
To determine the system's suitability for improving safe, independent mobility, particularly for veterans.

Main Methods:

The Drive-Safe System (DSS) was implemented as a shared-control, add-on navigation assistance solution.
Engineering tests included sensor coverage, maximum safe speed, obstacle detection range, and power consumption.
System performance was evaluated under stationary and dynamic (wheelchair movement) conditions.

Main Results:

The DSS demonstrated uniform and reliable sensor coverage around the power wheelchair.
Obstacles as small as 3.2 mm were detected at distances of at least 1.6 meters.
Maximum safe speed achieved was 4.2 km/h, with minimal 3% impact on battery life.

Conclusions:

The DSS effectively detects obstacles using low-cost ultrasound, infrared, and force sensors.
The system facilitates safe navigation near walls and through narrow doorways.
Results support the DSS as a practical solution for enhancing independent mobility for veterans with multiple disabilities.