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Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition ...
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Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition ...
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Including Signed Languages in Natural Language Processing ...
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Including Signed Languages in Natural Language Processing ...
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Real-Time Sign Language Detection using Human Pose Estimation ...
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Real-Time Sign Language Detection using Human Pose Estimation ...
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Real-Time Sign Language Detection using Human Pose Estimation
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In: Moryossef, Amit; Tsochantaridis, Ioannis; Aharoni, Roee; Ebling, Sarah; Narayanan, Srini (2020). Real-Time Sign Language Detection using Human Pose Estimation. arXiv.org 04637, University of Zurich. (2020)
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Abstract:
We propose a lightweight real-time sign language detectionmodel, as we identify the need for such a case in videoconferencing. Weextract optical flow features based on human pose estimation and, usinga linear classifier, show these features are meaningful with an accuracyof 80%, evaluated on the Public DGS Corpus. Using a recurrent modeldirectly on the input, we see improvements of up to 91% accuracy,whilestill working under 4ms. We describe a demo application to signlanguagedetection in the browser in order to demonstrate its usage possibility invideoconferencing applications.
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Keyword:
000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
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URL: https://www.zora.uzh.ch/id/eprint/193864/ https://doi.org/10.5167/uzh-193864 https://www.zora.uzh.ch/id/eprint/193864/1/moryossef-et-al-2020.pdf https://arxiv.org/pdf/2008.04637.pdf
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ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction ...
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