A Novel Device for Contactless Detection of Small Body Movements Dedicated to People with Severe Mobility Impairments

  • L. Fanucci
  • M. Malavasi
  • F. Iacopetti
  • M. Turturici
  • F. Sciarra
  • F. Lupi
Conference paper

Abstract

In the present work a novel system aiming at the contactless detection and recognition of small gestures of the body is proposed. Gestures can be subsequently associated to actions performed by a generic device, via a PC or an external actuator. The present work is related to the advanced stages of neuromuscular diseases, when the capabilities to control voluntary muscles are very poor and limited to a few muscles such as the facial ones. The proposed system uses a video acquisition unit, processing algorithms able to detect and recognize movements, a hardware-software platform to translate gestures into PC application controls or interaction with other devices, like cellular phones or ringing bells. The application of the system to a real scenario consisting in the detection of small facial movements of a user affected by Duchenne’s syndrome is described. The target application is raising a voluntary remote call for assistance by means of a predefined set of user gestures.

Keywords

Amyotrophic Lateral Sclerosis Assistive Technology Residual Mobility Residual Movement Voice Recognition System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    SIVA portal, the Italian Web Portal providing information and guidance on Assistive Technologies for independence, quality of life and participation of persons with disabilities, http://www.portale.siva.it/en-GB/home/default
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    Cook, A.M.: Cook and Hussey’s Assistive Technologies—Principles and Practice. Elsevier, St. Louis (2008)Google Scholar
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    Pasqualotto, E., Federici, S., Olivetti Belradinelli, M.: Toward functioning and usable brain-computer interfaces (bcis): a literature review. Disabil. Rehabil. Assistive Technol. 7(2), 89–103 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • L. Fanucci
    • 1
  • M. Malavasi
    • 2
  • F. Iacopetti
    • 1
  • M. Turturici
    • 1
  • F. Sciarra
    • 3
  • F. Lupi
    • 3
  1. 1.Dipartimento di Ingegneria dell’InformazioneUniversità di PisaPisaItaly
  2. 2.Centro Regionale Ausili Regione Emilia RomagnaBolognaItaly
  3. 3.BK s.r.l.via XXIV Maggio 331La Spezia (SP)Italy

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