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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

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

  • Czech description

Classification

  • Type

    X - Unclassified

  • CEP classification

  • 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