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Updated: Jun 25, 2025

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A Brain-Controlled and User-Centered Intelligent Wheelchair: A Feasibility Study.

Xun Zhang1, Jiaxing Li2, Ruijie Zhang1

  • 1School of Mechanical Science and Engineering, Northeast Petroleum University, No. 99 Xuefu Street, Longfeng District, Daqing 163319, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
Summary

This study developed an intelligent wheelchair to aid individuals with lower limb disabilities. Utilizing user-centered design and a brain-machine interface, the wheelchair offers advanced features for daily living.

Keywords:
UCDbrain–computer interfacesdesignergonomicsintelligent wheelchairmulti-posture

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Engineering
  • Human-Computer Interaction

Background:

  • Increasing prevalence of lower limb disabilities necessitates advanced mobility solutions.
  • Growing demand for intelligent, multi-functional wheelchairs driven by technological advancements.
  • Limitations of current wheelchairs in addressing diverse user needs.

Purpose of the Study:

  • To design and develop a fully functional, intelligent wheelchair tailored to the needs of individuals with lower limb disabilities.
  • To incorporate advanced features such as stair climbing, posture adjustment, and seat elevation.
  • To enhance user interaction and independence through innovative control systems.

Main Methods:

  • User-centered design (UCD) principles guiding the development process.
  • Comprehensive needs assessment via surveys, interviews, literature review, and expert consultation.
  • Development of a brain-machine interface (BMI) for wheelchair control.
  • Application of ergonomics theory for optimal seat design.

Main Results:

  • Defined functional and aesthetic requirements for an intelligent wheelchair.
  • Successful development of a prototype intelligent wheelchair with stair-climbing, posture adjustment, and seat elevation capabilities.
  • Implementation of a BMI system for intuitive wheelchair motion control.
  • Ergonomically optimized seat dimensions for user comfort.

Conclusions:

  • The developed intelligent wheelchair effectively addresses the functional and interaction needs of individuals with lower limb disabilities.
  • The integration of BMI and advanced features offers a significant improvement over conventional wheelchairs.
  • This research provides a valuable reference for future intelligent wheelchair design and upgrades.