Handmade Task Tracking Applied to Cognitive Rehabilitation
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 diffic...
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MDPI AG
2012-10-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/12/10/14214 |
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doaj-83bd938dabd74352b74dd667c9f7409c2020-11-25T02:19:06ZengMDPI AGSensors1424-82202012-10-011210142141423110.3390/s121014214Handmade Task Tracking Applied to Cognitive RehabilitationSandra CampoAlan WingJoachim HermsdörferJavier RojoManuel FerreCharmayne HughesJosé M. CogollorThis 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.http://www.mdpi.com/1424-8220/12/10/14214apraxiakinematicscognitive rehabilitationKinectTMActivities of Daily Living |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sandra Campo Alan Wing Joachim Hermsdörfer Javier Rojo Manuel Ferre Charmayne Hughes José M. Cogollor |
spellingShingle |
Sandra Campo Alan Wing Joachim Hermsdörfer Javier Rojo Manuel Ferre Charmayne Hughes José M. Cogollor Handmade Task Tracking Applied to Cognitive Rehabilitation Sensors apraxia kinematics cognitive rehabilitation KinectTM Activities of Daily Living |
author_facet |
Sandra Campo Alan Wing Joachim Hermsdörfer Javier Rojo Manuel Ferre Charmayne Hughes José M. Cogollor |
author_sort |
Sandra Campo |
title |
Handmade Task Tracking Applied to Cognitive Rehabilitation |
title_short |
Handmade Task Tracking Applied to Cognitive Rehabilitation |
title_full |
Handmade Task Tracking Applied to Cognitive Rehabilitation |
title_fullStr |
Handmade Task Tracking Applied to Cognitive Rehabilitation |
title_full_unstemmed |
Handmade Task Tracking Applied to Cognitive Rehabilitation |
title_sort |
handmade task tracking applied to cognitive rehabilitation |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2012-10-01 |
description |
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. |
topic |
apraxia kinematics cognitive rehabilitation KinectTM Activities of Daily Living |
url |
http://www.mdpi.com/1424-8220/12/10/14214 |
work_keys_str_mv |
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