YouTube-ASL Clip Keypoint Dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F25%3A43978473" target="_blank" >RIV/49777513:23520/25:43978473 - isvavai.cz</a>
Result on the web
<a href="http://hdl.handle.net/11234/1-5898" target="_blank" >http://hdl.handle.net/11234/1-5898</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
YouTube-ASL Clip Keypoint Dataset
Original language description
The YouTube-ASL Clip Keypoint Dataset is a curated collection of sentence-level American Sign Language (ASL) keypoint sequences derived from publicly available YouTube videos. Rather than providing raw video files, the dataset consists solely of JSON files containing frame-by-frame 2D keypoints extracted from segmented clips of individual signed sentences. Each frame has been processed using MediaPipe, which generates 208 2D keypoints representing body, face, hands, and pose landmarks. These keypoint sequences provide a compact, privacy-preserving representation of ASL visual-linguistic content, enabling research in sign language recognition, gesture analysis, and multimodal communication.
Czech name
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Czech description
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Classification
Type
X - Unclassified
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/LM2023062" target="_blank" >LM2023062: Digital Research Infrastructure for Language Technologies, Arts and Humanities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů