Depth sensors-based upper limb motion capture system for functional neurorehabilitation

Molina Nájera, Fernando and Pérez Rodríguez, Rodrigo and Cáceres Taladriz, César and Tormos Muñoz, Josep M. and Medina, Josep and Gómez Aguilera, Enrique J. (2013). Depth sensors-based upper limb motion capture system for functional neurorehabilitation. In: "International Conference on Recent Advances in Neurorrehabilitation (ICRAN2013)", 08/03/2013 - 09/03/2013, Valencia, Spain. pp. 197-200.

Description

Title: Depth sensors-based upper limb motion capture system for functional neurorehabilitation
Author/s:
  • Molina Nájera, Fernando
  • Pérez Rodríguez, Rodrigo
  • Cáceres Taladriz, César
  • Tormos Muñoz, Josep M.
  • Medina, Josep
  • Gómez Aguilera, Enrique J.
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Recent Advances in Neurorrehabilitation (ICRAN2013)
Event Dates: 08/03/2013 - 09/03/2013
Event Location: Valencia, Spain
Title of Book: International Conference on Recent Advances in Neurorrehabilitation (ICRAN2013)
Date: 2013
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Versatile and accurate motion capture systems, with the required properties to be integrated within both clinical and domiciliary environments, would represent a significant advance in following the progress of the patients as well as in allowing the incorporation of new data exploitation and analysis methods to enhance the functional neurorehabilitation therapeutic processes. Besides, these systems would permit the later development of new applications focused on the automatization of the therapeutic tasks in order to increase the therapist/patient ratio, thus decreasing the costs [1]. However, current motion capture systems are not still ready to work within uncontrolled environments.

More information

Item ID: 26112
DC Identifier: http://oa.upm.es/26112/
OAI Identifier: oai:oa.upm.es:26112
Deposited by: Memoria Investigacion
Deposited on: 01 Jun 2014 11:19
Last Modified: 22 Sep 2014 11:39
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