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Related Experiment Videos

Elasticity improves handgrip performance and user experience during visuomotor control.

Michael Mace1, Paul Rinne2, Jean-Luc Liardon1

  • 1Department of Bioengineering , Imperial College of Science, Technology and Medicine , London , UK.

Royal Society Open Science
|April 8, 2017
PubMed
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Elastic handgrip devices improve novice user performance in visuomotor tasks by 11%. Users also showed a threefold preference for elastic over rigid handgrip designs, highlighting device compliance in rehabilitation technology.

Area of Science:

  • Rehabilitation Engineering
  • Human-Computer Interaction
  • Biomechanics

Background:

  • Passive rehabilitation devices offer automated, low-cost therapy with motivation and feedback.
  • These devices can function as human-machine interfaces for independent training.
  • The design of hand-training devices, specifically elasticity, requires investigation for optimal user performance.

Purpose of the Study:

  • To determine if an elastic handgrip offers advantages over a rigid one in performance and user preference.
  • To evaluate the efficacy of a novel elastic force and position sensing handgrip for grasp function rehabilitation.

Main Methods:

  • Development of a sensitive, portable digital handgrip with a novel elastic sensing structure.
  • A usability study involving 66 healthy subjects performing visuomotor tracking tasks.
Keywords:
elasticgrip forcehandgrip interfaceisometricrehabilitation

Related Experiment Videos

  • Comparison of user performance and preference between elastic and rigid handgrip controls.

    • Main Results:

    • Novice users demonstrated significantly better performance with the elastic handgrip (11% relative improvement, p < 0.01).
    • This improvement was observed in tasks utilizing both feedforward and feedback control.
    • A threefold increase in user preference for the elastic handgrip over the rigid version was recorded.

    Conclusions:

    • Device compliance, specifically elasticity, is a crucial design factor for grip training devices.
    • Elastic handgrips enhance performance and user preference in visuomotor tasks for novice users.
    • Findings suggest elastic designs may lead to more effective and engaging hand rehabilitation.