Handmade Task Tracking Applied to Cognitive Rehabilitation


Autoria(s): Cogollor Delgado, Jose Maria; Ferre Perez, Manuel; Rojo Lacal, Javier Ignacio; Campo Bahía, Sandra; Hughes, Charmayne; Hermsdörfer, Joachim; Wing, Alan M.
Data(s)

01/10/2012

Resumo

This article presents research focused on tracking manual tasks that are applied in cognitive rehabilitation so as to analyze the movements of patients who suffer from Apraxia and Action Disorganization Syndrome (AADS). This kind of patients find executing Activities of Daily Living (ADL) too difficult due to the loss of memory and capacity to carry out sequential tasks or the impossibility of associating different objects with their functions. This contribution is developed from the work of Universidad Politécnica de Madrid and Technical University of Munich in collaboration with The University of Birmingham. The KinectTM for Windows© device is used for this purpose. The data collected is compared to an ultrasonic motion capture system. The results indicate a moderate to strong correlation between signals. They also verify that KinectTM is very suitable and inexpensive. Moreover, it turns out to be a motion-capture system quite easy to implement for kinematics analysis in ADL.

Formato

application/pdf

Identificador

http://oa.upm.es/15802/

Idioma(s)

eng

Publicador

E.T.S.I. Industriales (UPM)

Relação

http://oa.upm.es/15802/1/INVE_MEM_2012_130834.pdf

http://www.mdpi.com/1424-8220/12/10/14214

info:eu-repo/semantics/altIdentifier/doi/10.3390/s121014214

Direitos

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

info:eu-repo/semantics/openAccess

Fonte

Sensors, ISSN 1424-8220, 2012-10, Vol. 12, No. 10

Palavras-Chave #Robótica e Informática Industrial #Medicina
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed