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Dataset . 2021
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Dataset . 2021
License: CC BY
Data sources: Datacite
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Dataset . 2021
License: CC BY
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Costarican Sign Language (LESCO) emergency-based signs dataset

Research datakeyboard_double_arrow_right Dataset 03 Dec 2021 Spanish Publisher:Zenodo
Authors: Zamora-Mora, Juan; Chacon-Rivas, Mario;

doi: 10.5281/zenodo.6345338 , 10.5281/zenodo.5756387 , 10.5281/zenodo.5756386

Costarican Sign Language (LESCO) emergency-based signs dataset

Abstract

This dataset was part of Juan Zamora-Mora's doctoral dissertation on the recognition of Costarican Sign Language (LESCO) in emergency situations from Aspen University. The dataset is composed of 39 signs. There are three videos for each sign on each folder. Videos have been cropped and are on average 1 second long. This dataset contains a total of mp4 117 videos.

each folder represents a sign (the folder name is the label). There are 3 different signers performing the same sign at each folder.

Related Organizations
Keywords

lesco, costarican sign language, sign language, video, emergency, labeled video dataset

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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