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Previously submitted to: JMIR Serious Games (no longer under consideration since Jun 20, 2023)

Date Submitted: Feb 18, 2022

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A Difficulty Model Based on Movement Abilities for a Post-Stroke Rehabilitation Game

  • Ludovic David; 
  • Guillaume Bouyer; 
  • David Rei; 
  • Typhaine Koeppel; 
  • Anne-Gaëlle Grosmaire; 
  • Samir Otmane

ABSTRACT

Background:

Therapeutic games and Virtual Reality are popular tools for stroke rehabilitation. However, to be effective, the exercises must be repetitive, intensive, task-oriented and should present challenges adapted to the patient’s abilities and condition.

Objective:

In this article, we propose a model to control the difficulty in post-stroke rehabilitation games, based on movement abilities and endurance. We apply this in a forearm pronation-supination game.

Methods:

A preliminary experiment with 26 chronic stroke patients and 32 healthy participants studies the usability of the system and the impact of our difficulty model on performance, as well as the acceptance and motivation of users, and the perception of the difficulty and efforts.

Results:

Our system has excellent usability according to the System Usability Scale (SUS) scores. Objective and subjective results indicate that our difficulty model is coherent and has an impact on the performance of participants, though in limited proportions. Patients and healthy subjects have a strong and identical interest which suggests that therapeutic gaming is well designed to motivate users.

Conclusions:

We introduce a difficulty model based on motor abilities that can be used by various therapeutic games. This formal description allows to include a part of the therapist’s expertise through coefficients that can be adjusted according to the therapeutic objectives and patient profiles. The next steps are to make a framework from the model and to pair it with automatic difficulty adjustment. Clinical Trial: CER-Paris-Saclay-2018-040


 Citation

Please cite as:

David L, Bouyer G, Rei D, Koeppel T, Grosmaire AG, Otmane S

A Difficulty Model Based on Movement Abilities for a Post-Stroke Rehabilitation Game

JMIR Preprints. 18/02/2022:37366

DOI: 10.2196/preprints.37366

URL: https://preprints.jmir.org/preprint/37366

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