Motion Tracking and Gait Features Recognition Using MS Kinect

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F13%3A43895792" target="_blank" >RIV/60461373:22340/13:43895792 - isvavai.cz</a>

Výsledek na webu

<a href="http://bio.felk.cvut.cz/biodat2013" target="_blank" >http://bio.felk.cvut.cz/biodat2013</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Motion Tracking and Gait Features Recognition Using MS Kinect

Popis výsledku v původním jazyce

Motion tracking forms an important research area with many applications including the detection of gait disorders in biomedicine and control of robotic systems by gesture recognition. While synchronized video sequences can be acquired by complex and expensive camera systems it is possible to use much cheaper MS Kinect image and Depth sensors with MatLab and its image processing toolbox for the three-dimensional modelling in many applications for video frames analysis with the sufficient accuracy. MS Kinect feature of a skeleton tracking makes it easy to create the three-dimensional modeling of movements of individual joints in the space. After suppression of some gross errors in coordinates analysis of movement, the possibility of the use of inexpensive MS Kinect device is large, it may be used for detection of gait disorders in biomedicine, or for gesture recognition in control of engineering systems, manipulators and robotics.

Název v anglickém jazyce

Motion Tracking and Gait Features Recognition Using MS Kinect

Popis výsledku anglicky

Motion tracking forms an important research area with many applications including the detection of gait disorders in biomedicine and control of robotic systems by gesture recognition. While synchronized video sequences can be acquired by complex and expensive camera systems it is possible to use much cheaper MS Kinect image and Depth sensors with MatLab and its image processing toolbox for the three-dimensional modelling in many applications for video frames analysis with the sufficient accuracy. MS Kinect feature of a skeleton tracking makes it easy to create the three-dimensional modeling of movements of individual joints in the space. After suppression of some gross errors in coordinates analysis of movement, the possibility of the use of inexpensive MS Kinect device is large, it may be used for detection of gait disorders in biomedicine, or for gesture recognition in control of engineering systems, manipulators and robotics.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Conference on Advanced Methods of Biological Data and Signal Processing

ISBN

978-80-01-05410-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

"5/1"-"5/6"

Název nakladatele

Czech Technical University in Prague

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

21. 11. 2013

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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