@inproceedings{docio-fernandez-etal-2020-lse,
title = "{LSE}{\_}{UVIGO}: A Multi-source Database for {S}panish {S}ign {L}anguage Recognition",
author = "Doc{\'i}o-Fern{\'a}ndez, Laura and
Alba-Castro, Jos{\'e} Luis and
Torres-Guijarro, Soledad and
Rodr{\'i}guez-Banga, Eduardo and
Rey-Area, Manuel and
P{\'e}rez-P{\'e}rez, Ania and
Rico-Alonso, Sonia and
Garc{\'i}a-Mateo, Carmen",
editor = "Efthimiou, Eleni and
Fotinea, Stavroula-Evita and
Hanke, Thomas and
Hochgesang, Julie A. and
Kristoffersen, Jette and
Mesch, Johanna",
booktitle = "Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/2020.signlang-1.8/",
pages = "45--52",
language = "eng",
ISBN = "979-10-95546-54-2",
abstract = "This paper presents LSE{\_}UVIGO, a multi-source database designed to foster research on Sign Language Recognition. It is being recorded and compiled for Spanish Sign Language (LSE acronym in Spanish) and contains also spoken Galician language, so it is very well fitted to research on these languages, but also quite useful for fundamental research in any other sign language. LSE{\_}UVIGO is composed of two datasets: LSE{\_}Lex40{\_}UVIGO, a multi-sensor and multi-signer dataset acquired from scratch, designed as an incremental dataset, both in complexity of the visual content and in the variety of signers. It contains static and co-articulated sign recordings, fingerspelled and gloss-based isolated words, and sentences. Its acquisition is done in a controlled lab environment in order to obtain good quality videos with sharp video frames and RGB and depth information, making them suitable to try different approaches to automatic recognition. The second subset, LSE{\_}TVGWeather{\_}UVIGO is being populated from the regional television weather forecasts interpreted to LSE, as a faster way to acquire high quality, continuous LSE recordings with a domain-restricted vocabulary and with a correspondence to spoken sentences."
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<abstract>This paper presents LSE_UVIGO, a multi-source database designed to foster research on Sign Language Recognition. It is being recorded and compiled for Spanish Sign Language (LSE acronym in Spanish) and contains also spoken Galician language, so it is very well fitted to research on these languages, but also quite useful for fundamental research in any other sign language. LSE_UVIGO is composed of two datasets: LSE_Lex40_UVIGO, a multi-sensor and multi-signer dataset acquired from scratch, designed as an incremental dataset, both in complexity of the visual content and in the variety of signers. It contains static and co-articulated sign recordings, fingerspelled and gloss-based isolated words, and sentences. Its acquisition is done in a controlled lab environment in order to obtain good quality videos with sharp video frames and RGB and depth information, making them suitable to try different approaches to automatic recognition. The second subset, LSE_TVGWeather_UVIGO is being populated from the regional television weather forecasts interpreted to LSE, as a faster way to acquire high quality, continuous LSE recordings with a domain-restricted vocabulary and with a correspondence to spoken sentences.</abstract>
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%0 Conference Proceedings
%T LSE_UVIGO: A Multi-source Database for Spanish Sign Language Recognition
%A Docío-Fernández, Laura
%A Alba-Castro, José Luis
%A Torres-Guijarro, Soledad
%A Rodríguez-Banga, Eduardo
%A Rey-Area, Manuel
%A Pérez-Pérez, Ania
%A Rico-Alonso, Sonia
%A García-Mateo, Carmen
%Y Efthimiou, Eleni
%Y Fotinea, Stavroula-Evita
%Y Hanke, Thomas
%Y Hochgesang, Julie A.
%Y Kristoffersen, Jette
%Y Mesch, Johanna
%S Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives
%D 2020
%8 May
%I European Language Resources Association (ELRA)
%C Marseille, France
%@ 979-10-95546-54-2
%G eng
%F docio-fernandez-etal-2020-lse
%X This paper presents LSE_UVIGO, a multi-source database designed to foster research on Sign Language Recognition. It is being recorded and compiled for Spanish Sign Language (LSE acronym in Spanish) and contains also spoken Galician language, so it is very well fitted to research on these languages, but also quite useful for fundamental research in any other sign language. LSE_UVIGO is composed of two datasets: LSE_Lex40_UVIGO, a multi-sensor and multi-signer dataset acquired from scratch, designed as an incremental dataset, both in complexity of the visual content and in the variety of signers. It contains static and co-articulated sign recordings, fingerspelled and gloss-based isolated words, and sentences. Its acquisition is done in a controlled lab environment in order to obtain good quality videos with sharp video frames and RGB and depth information, making them suitable to try different approaches to automatic recognition. The second subset, LSE_TVGWeather_UVIGO is being populated from the regional television weather forecasts interpreted to LSE, as a faster way to acquire high quality, continuous LSE recordings with a domain-restricted vocabulary and with a correspondence to spoken sentences.
%U https://aclanthology.org/2020.signlang-1.8/
%P 45-52
Markdown (Informal)
[LSE_UVIGO: A Multi-source Database for Spanish Sign Language Recognition](https://aclanthology.org/2020.signlang-1.8/) (Docío-Fernández et al., SignLang 2020)
ACL
- Laura Docío-Fernández, José Luis Alba-Castro, Soledad Torres-Guijarro, Eduardo Rodríguez-Banga, Manuel Rey-Area, Ania Pérez-Pérez, Sonia Rico-Alonso, and Carmen García-Mateo. 2020. LSE_UVIGO: A Multi-source Database for Spanish Sign Language Recognition. In Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives, pages 45–52, Marseille, France. European Language Resources Association (ELRA).