Motion tracking and gait feature estimation for recognising Parkinson's disease using MS Kinect

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11150%2F15%3A10314583" target="_blank" >RIV/00216208:11150/15:10314583 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/15:00236405 RIV/60461373:22340/15:43899479
Result on the web
<a href="http://www.biomedical-engineering-online.com/content/14/1/97" target="_blank" >http://www.biomedical-engineering-online.com/content/14/1/97</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12938-015-0092-7" target="_blank" >10.1186/s12938-015-0092-7</a>

Result language
angličtina
Original language name
Motion tracking and gait feature estimation for recognising Parkinson's disease using MS Kinect
Original language description
Analysis of gait features provides important information during the treatment of neurological disorders, including parkinsońs disease. It is also used to observe the effects of medication and rehabilitation. The methodology presented in this paper enables the detection of selected gait attributes by Microsoft (MS) Kinect image and depth sensors to track movements in three-dimensional space.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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