Handmade task tracking applied to cognitive rehabilitation

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Deutscher übersetzter Titel:Anwendung der handgemachten Aufgabenverfolgung auf die kognitive Rehabilitation
Autor:Cogollor, Jose M.; Hughes, Charmayne; Rojo, Javier; Hermsdörfer, Joachim; Wing, Alan; Campo, Sandra
Erschienen in:Sensors
Veröffentlicht:10 (2012), 12, S. 14214-14231, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Elektronische Ressource (online) Gedruckte Ressource
Sprache:Englisch
ISSN:1424-8220
DOI:10.3390/s121014214
Schlagworte:
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Erfassungsnummer:PU201408008160
Quelle:BISp
TY  - JOUR
AU  - Cogollor, Jose M.
A2  - Cogollor, Jose M.
A2  - Hughes, Charmayne
A2  - Rojo, Javier
A2  - Hermsdörfer, Joachim
A2  - Wing, Alan
A2  - Campo, Sandra
DB  - BISp
DP  - BISp
KW  - Aufgabenbewältigung
KW  - Bewegungsanalyse
KW  - Bewegungskontrolle
KW  - Hand
KW  - Kleinhirn
KW  - Kognition
KW  - Motorik
KW  - Neurologie
KW  - Neurophysiologie
KW  - Psychomotorik
KW  - Rehabilitation
KW  - Sensomotorik
LA  - eng
TI  - Handmade task tracking applied to cognitive rehabilitation
TT  - Anwendung der handgemachten Aufgabenverfolgung auf die kognitive Rehabilitation
PY  - 2012
N2  - 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. Verf.-Referat
L2  - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545616/
L2  - https://dx.doi.org/10.3390/s121014214
DO  - 10.3390/s121014214
SP  - S. 14214-14231
SN  - 1424-8220
JO  - Sensors
IS  - 12
VL  - 10
M3  - Elektronische Ressource (online)
M3  - Gedruckte Ressource
ID  - PU201408008160
ER  -