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The Use of Visual Feedback Techniques in Balance Rehabilitation

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Health Monitoring and Personalized Feedback using Multimedia Data

Abstract

Exercising with the use of augmented visual feedback for improving functional motor behavior and particularly balance and locomotion has expanded over the late years. As a result, several visual feedback protocols, systems and devices have been developed and commercialized promising an effective means of improving balance function in aging and disease alleviating the risk of falling. A major challenge however, is how efficiently these devices improve balance and prevent falling. Through visually guided practice a specific internal visuo-motor transformation of the practiced visuo-motor task is acquired. Lately however, the generalization of the acquired visuo-motor transformation to other motor tasks has been questioned. In this chapter we review research evidence showing how the human brain uses visual information to control and improve motor performance and postural control in particular and what are the task and stimuli characteristics that optimize visuo-motor learning. Studies examining the effectiveness of visual feedback protocols in older adults’ balance rehabilitation are reviewed and directions for future research and development are discussed in the final section.

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Authors and Affiliations

  1. Faculty of Physical Education and Sport Science, Motor Control and Learning Laboratory, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Vassilia Hatzitaki

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  1. Vassilia Hatzitaki
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Correspondence to Vassilia Hatzitaki .

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Editors and Affiliations

  1. Centre for Research and Technology, Hellas, Information Technologies Institute, Thermi, Thessaloniki, Greece

    Alexia Briassouli

  2. Laboratoire Bordelais de Recherche en Informatique/University Bordeaux, Talence, France

    Jenny Benois-Pineau

  3. Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Alexander Hauptmann

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Hatzitaki, V. (2015). The Use of Visual Feedback Techniques in Balance Rehabilitation. In: Briassouli, A., Benois-Pineau, J., Hauptmann, A. (eds) Health Monitoring and Personalized Feedback using Multimedia Data. Springer, Cham. https://doi.org/10.1007/978-3-319-17963-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-17963-6_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17962-9

  • Online ISBN: 978-3-319-17963-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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