Influence of a marker-based motion capture system on the performance of Microsoft Kinect v2 skeleton algorithm

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OriginalsprogEngelsk
Artikelnummer8494823
TidsskriftIEEE Sensors Journal
Vol/bind19
Udgave nummer1
Sider (fra-til)171-179
Antal sider9
ISSN1530-437X
DOI
StatusUdgivet - 1 jan. 2019

Fingeraftryk

musculoskeletal system
markers
Cameras
Sensors
sensors
cameras
Kinematics
posture
Detectors
visual perception
estimates
inference
emitters
kinematics
Costs
detectors

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    @article{4b85b352a50a4da184b78ca4191bb6ce,
    title = "Influence of a marker-based motion capture system on the performance of Microsoft Kinect v2 skeleton algorithm",
    keywords = "Bones, Cameras, experimental noise analysis, Joints, Microsoft Kinect sensor, mutual interference, Qualisys motion capture system, RGB-D sensor, Sensor systems, Tracking",
    author = "Mohammadreza Naeemabadi and Birthe Dinesen and Andersen, {Ole K{\ae}seler} and John Hansen",
    year = "2019",
    month = "1",
    day = "1",
    doi = "10.1109/JSEN.2018.2876624",
    language = "English",
    volume = "19",
    pages = "171--179",
    journal = "I E E E Sensors Journal",
    issn = "1530-437X",
    publisher = "IEEE",
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    }

    Influence of a marker-based motion capture system on the performance of Microsoft Kinect v2 skeleton algorithm. / Naeemabadi, Mohammadreza; Dinesen, Birthe; Andersen, Ole Kæseler; Hansen, John.

    I: IEEE Sensors Journal, Bind 19, Nr. 1, 8494823, 01.01.2019, s. 171-179.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    TY - JOUR

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    AU - Andersen, Ole Kæseler

    AU - Hansen, John

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    KW - Joints

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    KW - mutual interference

    KW - Qualisys motion capture system

    KW - RGB-D sensor

    KW - Sensor systems

    KW - Tracking

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    DO - 10.1109/JSEN.2018.2876624

    M3 - Journal article

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