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Navigation paradigms for non-invasive BCI-controlled wheelchairs: a systematic review
Uchechi F Faithful Ukaegbu1,2, Sara Houshmand1,2, Leah Hammond2
1Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Progress in Biomedical Engineering (Bristol, England)
|March 20, 2026
Summary
Brain-computer interface (BCI) wheelchairs offer mobility for those with motor impairments. This review highlights BCI navigation trends, finding most studies focus on basic control, urging real-world adaptability for wider use.
Area of Science:
- Neuroscience and Biomedical Engineering
- Rehabilitation Technology
Background:
- Brain-controlled powered wheelchairs (BCPWs) are crucial for individuals with severe motor impairments.
- Despite advancements, BCI wheelchairs face challenges in real-world application and navigation.
- This review systematically examines BCI technology for wheelchair navigation.
Purpose of the Study:
- To systematically review recent trends in BCI technology for wheelchair navigation and control.
- To highlight the contributions and limitations of various navigation paradigms.
- To identify research gaps and future directions for BCI wheelchair systems.
Main Methods:
- PRISMA guidelines followed for systematic review.
- Searched PubMed, Scopus, IEEE Xplore, and Google Scholar (2000-April 2025).
- Focused on non-invasive BCI and real-world navigation studies, synthesizing 47 articles.
Main Results:
- BCI wheelchair studies predominantly feature low-level navigation control with limited obstacle avoidance.
- Most studies (57%) integrate sensors for enhanced navigation features like obstacle avoidance and mapping.
- Motor imagery and SSVEP paradigms are common for control command generation.
Conclusions:
- BCI wheelchairs show promise but require enhanced reliability and adaptability for real-world use.
- Future research should focus on improving autonomous navigation and obstacle avoidance capabilities.
- Addressing these areas will increase the societal impact and accessibility of BCI wheelchairs.
Keywords:
BCI wheelchairassistive technologybrain–computer interfaceintelligent wheelchairssmart navigation
