2026-10-10T09:51:03Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33936331 2026-09-24T10:43:52Z category_58319 portal_201 item_type_3 month_year_09_2026

ZNNM_cc_20260316_part2 Gomèr Otterspeer (22384924) Language, Communication and Culture sign language Dutch Sign Language NGT Zin in NGT ZNN motion capture mocap Vicon Character Creator FBX GLB sign language animation <p>This dataset is part of the data collection ZIN-IN-NGT-animations (<a href="https://doi.org/10.21942/uva.c.8723797">https://doi.org/10.21942/uva.c.8723797</a>).</p><h3>About the content of the data collection</h3><p>ZIN-IN-NGT-animations is a data collection containing 3D animations of 4,083 sentences in Sign Language of the Netherlands (NGT). These are sentences that are frequently used in the interaction between parents and young children.</p><p>The name of the data collection, ZIN in NGT, can be translated from Dutch to English either as ‘SENTENCE in NGT’ or ‘APPETITE for NGT’.</p><p>The present data collection is a companion to the ZIN-IN-NGT-videos data collection (DOI 10.21942/uva.c.8558478), which contains video recordings of the same sentences. To obtain 3D animations, signers watched the video recording of each sentence and then re-performed the same sentence in a motion capture studio.</p><p>The name of each file includes the name of the original video recording (e.g. M20241216_5634, which includes the video recording date in YYYYMMDD format and a recording ID). This is extended with the motion capture session date in YYMMDD format and the take number, e.g. M20241216_5634_260319_3.fbx. Only the last take of each sentence is included in the data collection. mocap_mapping.csv in ZNNM_codebook lists all takes and links them to the video collection Zin-IN-NGT-videos (DOI 10.21942/uva.c.8558478).</p><p>The collection contains, for each sentence, the raw Shogun motion capture data (ZNNM_shogun), the Vicon-solved skeleton data (ZNNM_vicon), the retargeted Character Creator animation (ZNNM_cc), the post-processed version of the retargeted CC animation (ZNNM_cc_pp), and the annotations (ZNNM_annotation). The data collection also includes a codebook with the take mapping (ZNNM_codebook).</p><h3>About the creation of the data collection</h3><p>This data collection has been created through a collaboration between UvA’s SignLab (<a href="http://www.signlab-amsterdam.nl">www.signlab-amsterdam.nl</a>) and TYD (<a href="http://www.tyd.nl">www.tyd.nl</a>). All 3D animations have been created using SignLab’s motion capture setup at UvA’s Visualisation Lab in 2024-2026. We are currently writing a paper describing in more detail how the data collection was created. A link to the paper will be added here once the paper is published.</p><h3>License</h3><p>All data is shared under a CC-BY 4.0 license.</p><h3>Funding</h3><p>The creation of this data collection has been supported by ZonMW, NWO, Stichting Handgebaar, Stichting Vrienden van Effatha, and by the University of Amsterdam through the research programme <i>Language Sciences for Social Good.</i></p><h3>Related data collection</h3><p>A related data collection, ZIN-IN-NGT-videos (<a href="https://doi.org/10.21942/uva.c.8558478">https://doi.org/</a><a href="https://doi.org/10.21942/uva.c.8558478">10.21942/uva.c.8558478</a>), contains multi-view video recordings of all sentences in the current data collection.</p><h3>About this dataset</h3><p>ZIN-IN-NGT-animations is the motion-capture companion of the Zin in NGT (ZNN) corpus: 4,083 sentence recordings in Sign Language of the Netherlands (NGT) from Signlab (University of Amsterdam / Amsterdam University of Applied Sciences). Signers re-performed the sentences in a Vicon motion-capture suit; every file is named after the original recording (m_base, e.g. M20241216_1234), the capture session (YYMMDD) and the take number, e.g. M20241216_1234_260319_3.fbx. Only the latest take per recording per session is included. mocap_mapping.csv in ZNNM_codebook lists all takes and links them to the video collection 'ZIN-IN-NGT-videos' (DOI 10.21942/uva.c.8558478). Character Creator animations, FBX and GLB per take (retargeted mocap on the CC avatar), for the capture session in the title.</p> 2026-09-24T10:43:52Z Dataset Dataset 10.21942/uva.33936331.v2 https://figshare.com/articles/dataset/ZNNM_cc_20260316_part2/33936331 CC BY 4.0