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Updated: Jun 10, 2026

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
Published on: February 5, 2020
Biometrically modulated collaborative control for an assistive wheelchair.
Cristina Urdiales1, Blanca Fernandez-Espejo, Roberta Annicchiaricco
1ISIS Group, ETSI Telecommunications, University of Málaga, 29071 Málaga, Spain. acurdiales@uma.es
This study introduces a smart wheelchair control system that adjusts robot assistance based on user performance and stress levels, measured by biometrics. This adaptive approach enhances user efficiency and skill retention for individuals with severe physical disabilities.
Area of Science:
- Robotics
- Rehabilitation Engineering
- Human-Computer Interaction
Background:
- Individuals with severe physical disabilities often require robotic assistance for wheelchair operation.
- Over-assistance can lead to skill degradation, necessitating a balance between user control and robot support.
- Adaptive control is crucial for optimizing user engagement and maintaining residual abilities.
Purpose of the Study:
- To develop a collaborative control system for robotic wheelchairs that dynamically adjusts assistance levels.
- To integrate biometric data for real-time modulation of robot support based on user stress.
- To enhance wheelchair usability and user efficiency through adaptive control.
Main Methods:
- A collaborative control system was designed, weighting user and robot commands based on their efficiency.
- An emergent controller was developed to allow users to gain more control as their performance improves.
- A wearable pulse oximeter was integrated to collect biometric data (heart rate) to detect user stress.
- The system adaptively adjusts robot assistance based on both user efficiency and detected stress levels.
Main Results:
- The proposed system allows for a reactive adjustment of control, giving users more autonomy as they perform better.
- Biometric data, specifically pulse oximetry, effectively indicated user stress levels.
- Volunteers demonstrated improved wheelchair operation efficiency using the biometric-modulated collaborative control system.
- The adaptive system provided appropriate assistance, preventing skill loss while ensuring safe and effective operation.
Conclusions:
- Biometric-modulated collaborative control offers a promising approach for adaptive robotic wheelchair systems.
- This technology can improve the quality of life and independence for individuals with severe physical disabilities.
- Future research should explore a wider range of biometric sensors and user populations.
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