Gesture Therapy: A Vision-Based System for Arm Rehabilitation after Stroke

  • L. Enrique Sucar
  • Gildardo Azcárate
  • Ron S. Leder
  • David Reinkensmeyer
  • Jorge Hernández
  • Israel Sanchez
  • Pedro Saucedo
Conference paper

DOI: 10.1007/978-3-540-92219-3_40

Part of the Communications in Computer and Information Science book series (CCIS, volume 25)
Cite this paper as:
Sucar L.E. et al. (2008) Gesture Therapy: A Vision-Based System for Arm Rehabilitation after Stroke. In: Fred A., Filipe J., Gamboa H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2008. Communications in Computer and Information Science, vol 25. Springer, Berlin, Heidelberg

Abstract

Each year millions of people in the world survive a stroke, in the U.S. alone the figure is over 600,000 people per year. Movement impairments after stroke are typically treated with intensive, hands-on physical and occupational therapy for several weeks after the initial injury. However, due to economic pressures, stroke patients are receiving less therapy and going home sooner, so the potential benefit of the therapy is not completely realized. Thus, it is important to develop rehabilitation technology that allows individuals who had suffered a stroke to practice intensive movement training without the expense of an always-present therapist. Current solutions are too expensive, as they require a robotic system for rehabilitation. We have developed a low-cost, computer vision system that allows individuals with stroke to practice arm movement exercises at home or at the clinic, with periodic interactions with a therapist. The system integrates a web based virtual environment for facilitating repetitive movement training, with state-of-the art computer vision algorithms that track the hand of a patient and obtain its 3-D coordinates, using two inexpensive cameras and a conventional personal computer. An initial prototype of the system has been evaluated in a pilot clinical study with promising results.

Keywords

Rehabilitation stroke therapeutic technology computer vision 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • L. Enrique Sucar
    • 1
  • Gildardo Azcárate
    • 1
  • Ron S. Leder
    • 2
  • David Reinkensmeyer
    • 3
  • Jorge Hernández
    • 4
  • Israel Sanchez
    • 4
  • Pedro Saucedo
    • 5
  1. 1.Departamento de Computación, INAOE, TonantzintlaPueblaMexico
  2. 2.División de Ingeniería Eléctrica, UNAMMexico D.F.Mexico
  3. 3.Department of Mechanical and Aerospace EngineeringUC IrvineUSA
  4. 4.Unidad de Rehabilitación, INNNMexico D.F.Mexico
  5. 5.Universidad Anáhuac del SurMexico D.F.Mexico

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