Work

Follow Me and Minimize My Risk of Fall. An Automated Wheelchair Follow Module for Mobility Assistance

Year: 2025

Type: article

Abstract: The proposed system provides an automated, modular system configured for integration with existing automated/powered wheelchairs, facilitating the wheelchair to autonomously track and follow a patient during gait training sessions or other mobility-related activities. The proposed system comprises a modular add-on that attaches to the wheelchair’s existing joystick or control stick, equipped with a camera, sensors, and software that autonomously tracks the patient’s movements. The wheelchair’s motion is controlled by the module, based on real-time visual feedback from the camera targeting the patient. The primary advantage of this proposed system is its ability to minimize the risk of fall for patients or seniors via allowing the wheelchair to follow them without additional staff involvement, to increase users’ safety and reduce staff workload. Furthermore, the proposed system is designed to be minimally invasive, enabling it to be retrofitted to virtually any existing automated and powered wheelchair with minimal modification.

Source: Proceedings of the Human Factors and Ergonomics Society Annual Meeting

DOI: 10.1177/10711813251358787

Authors: Ashraf Elmarakby, Mohammed Abdallah, Yusuf Elazzazi, Ahmed Radwan

Institutions: State University of New York, Northern Illinois University, University of Detroit Mercy

Language: English

Topic: Assistive Technology in Communication and Mobility

Subfield: Occupational Therapy

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4412468909

FWCI:

Cites: 7

Cited by:

Related to: 10