DocumentCode :
186314
Title :
Kinect based system and Artificial Neural Networks classifiers for physiotherapy assessment
Author :
Cary, Francisco ; Postolache, Octavian ; Silva Girao, Pedro
Author_Institution :
Inst. Super. Tecnico, Lisbon, Portugal
fYear :
2014
fDate :
11-12 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper describes the development of a health monitoring platform for physiotherapy patients, particularly focused on the ones suffering from stroke disease. Using the Kinect sensor, the presented system intends to provide technical data about the patients that could help therapists during physiotherapy assessments. For helping quantifying the patients´ performance, a mechanism for human poses and gestures recognition was built using a sequence of Artificial Neural Networks (ANNs). Furthermore, through remote physiotherapy our system helps ensuring the continuity of the treatments outside the clinics and a considerable cost reduction.
Keywords :
diseases; gesture recognition; medical image processing; neural nets; patient monitoring; patient rehabilitation; patient treatment; ANN; Kinect based system; Kinect sensor; artificial neural networks classifiers; gestures recognition; health monitoring platform; human poses; physiotherapy assessment; physiotherapy patients; stroke disease; Artificial neural networks; Joints; Monitoring; Servers; Torso; Training; Vectors; artificial neural network; electronic health record; motion analysis; physical rehabilitation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
Type :
conf
DOI :
10.1109/MeMeA.2014.6860146
Filename :
6860146
Link To Document :
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