REHAB 2014

Research Article

Description of a Self-adaptive Architecture for Upper-limb Rehabilitation

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.255246,
        author={Alexis Heloir and Sylvain Haudegond and Yoann Lebrun and Fabrizio Nunnari and Christophe Kolski},
        title={Description of a Self-adaptive Architecture for Upper-limb Rehabilitation},
        proceedings={REHAB 2014},
        keywords={training tools for rehabilitation motor rehabilitation virtual rehabilitation gesture based interaction},
  • Alexis Heloir
    Sylvain Haudegond
    Yoann Lebrun
    Fabrizio Nunnari
    Christophe Kolski
    Year: 2014
    Description of a Self-adaptive Architecture for Upper-limb Rehabilitation
    DOI: 10.4108/icst.pervasivehealth.2014.255246
Alexis Heloir1,*, Sylvain Haudegond2, Yoann Lebrun2, Fabrizio Nunnari3, Christophe Kolski4
  • 1: DFKI and LAMIH-UMR CNRS 8201
  • 2: Play and Research Lab
  • 3: DFKI
  • 4: LAMIH-UMR CNRS 8201
*Contact email:


This paper presents a natural and intuitive user interface architecture that uses a consumer-range 3D hand capture device to interactively edit objects in 3D space. While running, the system monitors the user's behaviors and performance in order to maintain an up-to-date model of the user. This model then drives on the fly the re-arrangement and re-parameterization of a rule-based system that controls the interaction. A preliminary user study let us define the initial parameters of this self-adaptive system. We believe that the self-adaptive aspects of the architecture we propose is well suited to the problematics of rehabilitation. This system can, from the beginning, adapt to both the user's impairments and needs, then follow and adapt its interaction logic according to the user's progress. Such a system would, for instance, enable a clinician or a therapist to design tailored rehabilitation activities accounting for the patient's exact physical and physiological condition.