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Enhancing Wheelchair Control for People with MS: Variable Compliance Joystick Evaluation

Preliminary study on using a Variable Compliance Joystick with personalized algorithms to improve driving performance in MS patients. Results indicate customized algorithms enhance task performance and reduce fatigue. Conclusion emphasizes the potential of VCJ for wheelchair control.

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Enhancing Wheelchair Control for People with MS: Variable Compliance Joystick Evaluation

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  1. Preliminary evaluation of a variable compliance joystick for people with multiple sclerosis Harshal P. Mahajan, PhD; Donald M. Spaeth, PhD; Brad E. Dicianno, MD; Karl Brown, MS; Rory A. Cooper, PhD

  2. Aim • Evaluate whether participants with multiple sclerosis (MS) can drive electrical powered wheelchairs better with a variable compliance joystick (VCJ) and customizable algorithms or with a conventional wheelchair joystick. • Relevance • Upper-limb fatigue may restrict people with MS from using their electrical powered wheelchair effectively and for long periods.

  3. Method • 11 participants were randomly assigned to 2 groups. • To complete virtual wheelchair driving tasks, each group used either VCJ in compliant or noncompliant isometric mode and a: • Standard algorithm. • Personally fitted algorithm. • Personally fitted algorithm with fatigue adaptation running in background.

  4. Results • Participants with MS showed better driving performance metrics while using customized algorithms than while using standard algorithm with VCJ.

  5. Conclusion • Fatigue adaptation algorithms are especially beneficial in improving overall task performance while using VCJ in isometric mode. • VCJ, along with personally fitted algorithms and fatigue adaptation algorithms, is a potentially effective input interface for wheelchairs.

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