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


Autoria(s): Molina Nájera, Fernando; Pérez Rodríguez, Rodrigo; Cáceres Taladriz, César; Tormos Muñoz, Josep M.; Medina, Josep; Gómez Aguilera, Enrique J.
Data(s)

2013

Resumo

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.

Formato

application/pdf

Identificador

http://oa.upm.es/26112/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/26112/1/INVE_MEM_2013_162688.pdf

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

International Conference on Recent Advances in Neurorrehabilitation (ICRAN2013) | International Conference on Recent Advances in Neurorrehabilitation (ICRAN2013) | 08/03/2013 - 09/03/2013 | Valencia, Spain

Palavras-Chave #Medicina #Telecomunicaciones
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed