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The MS Kinect Image and Depth Sensors Use for Gait Features Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F14%3A43897329" target="_blank" >RIV/60461373:22340/14:43897329 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11150/14:10321892

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7025460&queryText%3DThe+MS+Kinect+Image+and+Depth+Sensors+Use+for+Gait+Features+Detection" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7025460&queryText%3DThe+MS+Kinect+Image+and+Depth+Sensors+Use+for+Gait+Features+Detection</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICIP.2014.7025460" target="_blank" >10.1109/ICIP.2014.7025460</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The MS Kinect Image and Depth Sensors Use for Gait Features Detection

  • Original language description

    Movement disorders, problems with motion and gait stability related to aging form a very intensively studied research area. The paper presents a contribution to these topics through the use of data acquired by motion sensors and namely image and depth sensors of the MS Kinect. While video sequences obtained by complex camera systems can be used for the precise gait features evaluation, it is possible to use much cheaper devices for diagnostic purposes accurate enough in many cases. The experimental partof the study presents video sequences and depth sensors data acquisition for 18 individuals with the Parkinson's disease and 18 healthy age-matched controls using the proposed graphical user interface in the clinical environment. Results presented include the estimation of gait features to distinguish gait disorders and to classify individuals in the early stage of possible serious diseases. The accuracy achieved was higher then 90 % for given sets of individuals.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the IEEE 2014 International Conference on Image Processing

  • ISBN

    978-1-4799-5751-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    2271-2274

  • Publisher name

    IEEE Institute of Electrical and Electronics Engineers

  • Place of publication

    Piscataway, New Jersey

  • Event location

    Paris

  • Event date

    Oct 27, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article