Handmade task tracking applied to cognitive rehabilitation
Gespeichert in:
Deutscher übersetzter Titel: | Anwendung der handgemachten Aufgabenverfolgung auf die kognitive Rehabilitation |
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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: | |
Online Zugang: | |
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 -