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dc.contributor.author Klessa, Katarzyna
dc.contributor.author Karpiński, Maciej
dc.contributor.author Jarmołowicz-Nowikow, Ewa
dc.contributor.author Sawicka-Stępińska, Brygida
dc.contributor.author Klessa, Wojciech
dc.date.accessioned 2025-12-04T08:06:08Z
dc.date.available 2025-12-04T08:06:08Z
dc.date.issued 2025
dc.identifier.uri http://hdl.handle.net/11321/964
dc.description MultiCo-Hub is a multimodal dataset including 11 zipped subsets (henceforth: sessions) of time-aligned audio, video and motion-capture–derived BVH data, together with multi-layered Annotation Pro files (ANTx) extended with automatically extracted motion-trajectory layers. The dataset includes a dedicated training session demonstrating body movement (TESM_001). The video and audio files included in remaining 10 sessions are derived from the MultiCo corpus (http://hdl.handle.net/11321/942). The original MultiCo sessions were enriched by means of: - full audio, video and BVH streams synchronization to enhance precise multimodal analysis; - motion-capture (BVH) data normalization, conversion, and integration directly into the annotation files as layers describing trajectories of selected body parts (positions, speeds, gesture-space coordinates). Furthermore, for each session, the corpus provides a composite multi-view video file showing all four camera angles simultaneously. This makes the dataset easier to inspect and substantially more accessible for users working on standard-performance computers. MultiCo-Hub offers a compact, ready-to-use resource for research and education in the areas of speech–gesture coordination, gesture space, temporal properties of movement, communicative alignment of interlocutors, and multimodal interaction. Export to common formats (TextGrid, EAF, CSV, etc.) is supported via Annotation Pro, facilitating downstream statistical analysis, visualization and interoperability. The MultiCo-Hub set also served as input for developing a set of R and C# applications and scripts that support the analysis and visualization of gesture space, temporal movement properties, and communicative alignment in dialogue.
dc.language.iso pol
dc.language.iso PL
dc.publisher Adam Mickiewicz University, Poznan
dc.rights Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.label PUB
dc.subject multimodal communication
dc.subject BVH
dc.subject Annotation Pro
dc.subject speech and movement
dc.subject ANTx
dc.subject multilayer annotation
dc.title MultiCo-Hub: a corpus of multimodal enrichments with motion-trajectory annotation
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType video
has.files yes
branding CLARIN-PL
contact.person Katarzyna Klessa katarzyna@klessa.pl Adam Mickiewicz University, Poznan
sponsor Krajowy Plan Odbudowy (KPO) / European funds for Poland’s recovery and resilience plan (KPO) KPOD.01.18-IW.03-0013/23 Cyfrowa Infrastruktura Badawcza dla Humanistyki i Nauk o Sztuce DARIAH-PL euFunds
sponsor Program Operacyjny Inteligentny Rozwój 2014-2020 w obszarze Rozwój nowoczesnej infrastruktury badawczej sektora nauki / Intelligent Development Operational Program 2014-2020, Polish National Center for Research and Development POIR.04.02.00-00-D006/20 Cyfrowa Infrastruktura Badawcza dla Humanistyki i Nauk o Sztuce DARIAH-PL / Digital Research Infrastructure for the Humanities and euFunds
size.info 10 other
size.info 1 other
files.size 5641586239
files.count 11


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TESM_001.zip
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212.73 MB
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Training session demonstrating body movement
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ASMB_003.zip
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370.64 MB
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application/zip
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Dialog session (audio, video, annotation with movement trajectories, synchronized BVH)
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MJAB_003.zip
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530.13 MB
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Dialog session (audio, video, annotation with movement trajectories, synchronized BVH)
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Dialog session (audio, video, annotation with movement trajectories, synchronized BVH)
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Dialog session (audio, video, annotation with movement trajectories, synchronized BVH)
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Dialog session (audio, video, annotation with movement trajectories, synchronized BVH)
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Dialog session (audio, video, annotation with movement trajectories, synchronized BVH)
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