Virtual reality tool for learning sign language in spanish
Language is the means of human access to the world. Languages have the virtue of opening up alternative ways of thinking and understanding the place people inhabit, relating to it, expanding it and modifying it. As a possibility of communication, languages open up opportunities to relate to other pe...
- Autores:
-
amelec, viloria
Llerena-Rangel, Isabel
Pineda, Omar
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7297
- Acceso en línea:
- https://hdl.handle.net/11323/7297
https://repositorio.cuc.edu.co/
- Palabra clave:
- Language
Learning sign
Virtual reality tool
- Rights
- closedAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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| dc.title.spa.fl_str_mv |
Virtual reality tool for learning sign language in spanish |
| title |
Virtual reality tool for learning sign language in spanish |
| spellingShingle |
Virtual reality tool for learning sign language in spanish Language Learning sign Virtual reality tool |
| title_short |
Virtual reality tool for learning sign language in spanish |
| title_full |
Virtual reality tool for learning sign language in spanish |
| title_fullStr |
Virtual reality tool for learning sign language in spanish |
| title_full_unstemmed |
Virtual reality tool for learning sign language in spanish |
| title_sort |
Virtual reality tool for learning sign language in spanish |
| dc.creator.fl_str_mv |
amelec, viloria Llerena-Rangel, Isabel Pineda, Omar |
| dc.contributor.author.spa.fl_str_mv |
amelec, viloria Llerena-Rangel, Isabel Pineda, Omar |
| dc.subject.spa.fl_str_mv |
Language Learning sign Virtual reality tool |
| topic |
Language Learning sign Virtual reality tool |
| description |
Language is the means of human access to the world. Languages have the virtue of opening up alternative ways of thinking and understanding the place people inhabit, relating to it, expanding it and modifying it. As a possibility of communication, languages open up opportunities to relate to other people, to get closer to them and to develop a broader understanding of the social and the human elements [1]. This research presents a visual tool designed to allow the learning of multiple words that are part of Spanish Sign Language (SSL) through an anthropomorphic model that is completely manipulable and programmable. |
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2020 |
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2020-11-12T21:56:34Z |
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2020-11-12T21:56:34Z |
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2020 |
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2021-06-19 |
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Pre-Publicación |
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Corporación Universidad de la Costa |
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eng |
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Rodríguez-Ortiz, I.R., Pérez, M., Valmaseda, M., Cantillo, C., Díez, M.A., Montero, I., Moreno-Pérez, F.J., Pardo-Guijarro, M.J., Saldaña, D.: A Spanish Sign Language (LSE) adaptation of the communicative development inventories. J. Deaf Stud. Deaf Educ. 25(1), 105–114 (2020) Singleton, J.L., Quinto-Pozos, D., Martinez, D.: Typical and atypical sign language learners. In: The Routledge Handbook of Sign Language Pedagogy (2019) Gago, J.J., Victores, J.G., Balaguer, C.: Sign language representation by teo humanoid robot: end-user interest, comprehension and satisfaction. Electronics 8(1), 57 (2019) Villameriel, S., Costello, B., Dias, P., Giezen, M., Carreiras, M.: Language modality shapes the dynamics of word and sign recognition. Cognition 191, 103979 (2019) Li, D., Rodriguez, C., Yu, X., Li, H.: Word-level deep sign language recognition from video: a new large-scale dataset and methods comparison. In: The IEEE Winter Conference on Applications of Computer Vision, pp. 1459–1469 (2020) Beal, J.: University American Sign Language (ASL) second language learners: receptive and expressive ASL performance. J. Interpret. 28(1), 1 (2020) Malaia, E.A., Krebs, J., Roehm, D., Wilbur, R.B.: Age of acquisition effects differ across linguistic domains in sign language: EEG evidence. Brain Lang. 200, 104708 (2020) Stoll, S., Camgöz, N.C., Hadfield, S., Bowden, R.: Sign language production using neural machine translation and generative adversarial networks. In: 29th British Machine Vision, Northumbria University, Newcastle Upon Tyne, UK (2018) Chung, S., Lim, J.Y., Ju Noh, K., Kim, G., Jeong, H.: Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning (2019) Chung, S., Lim, J.Y., Ju Noh, K., Kim, G., Jeong, H.: Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning (2019) Gutierrez-Sigut, E., Costello, B., Baus, C., Carreiras, M.: LSE-sign: a lexical database for Spanish Sign Language. Behav. Res. Methods 48(1), 123–137 (2016) Parcheta, Z., Martínez-Hinarejos, C.D.: Sign language gesture recognition using HMM. In: Iberian Conference on Pattern Recognition and Image Analysis, pp. 419–426. Springer, Cham, June 2017 Goldin-Meadow, S., Brentari, D.: Gesture, sign, and language: the coming of age of sign language and gesture studies. Behav. Brain Sci. 40, 1–60 (2017) Ebling, S., Camgöz, N.C., Braem, P.B., Tissi, K., Sidler-Miserez, S., Stoll, S., Hadfield, S., Haug, T., Bowden, R., Tornay, S., Razavi, M.: SMILE Swiss German sign language dataset. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 2018 Torres Samuel, M., Vásquez, C., Viloria, A., Hernández Fernandez, L., Portillo Medina, R.: Analysis of patterns in the university Word Rankings Webometrics, Shangai, QS and SIRScimago: case Latin American. Lecture Notes in Computer Science (Including subseries Lecture Notes in Artificial Intelligent and Lecture Notes in Bioinformatics (2018) Mulík, S., Carrasco-Ortiz, H., Amengual, M.: Phonological activation of first language (Spanish) and second language (English) when learning third language (Slovak) novel words. Int. J. Bilingualism 23(5), 1024–1040 (2019) Viloria, A., Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Godoy, A.R.M., Moreno, G.C., Kamatkar, S.J.: Methodology for the design of a student pattern recognition tool to facilitate the teaching-learning process through knowledge data discovery (big data). In: International Conference on Data Mining and Big Data, pp. 670–679. Springer, Cham, June 2018 Lu, X., Zheng, Y., Ren, W.: Motivation for learning Spanish as a foreign language: the case of Chinese L1 speakers at university level. Círculo de Lingüistica Aplicada a la Comunicación 79, 79–99 (2018) Lonigan, C.J., Allan, D.M., Goodrich, J.M., Farrington, A.L., Phillips, B.M.: Inhibitory control of Spanish-speaking language-minority preschool children: measurement and association with language, literacy, and math skills. J. Learn. Disabil. 50(4), 373–385 (2017) Zink, D.N., Reyes, E., Kuwabara, H., Strauss, G.P., Allen, D.N.: Factorial validity of the emotional verbal learning test-spanish (EVLT-S). Arch. Clin. Neuropsychol. 34(7), 1283 (2019) Ahmed, M.A., Zaidan, B.B., Zaidan, A.A., Salih, M.M., Lakulu, M.M.B.: A review on systems-based sensory gloves for sign language recognition state of the art between 2007 and 2017. Sensors 18(7), 2208 (2018) Fitzpatrick, E.M., Hamel, C., Stevens, A., Pratt, M., Moher, D., Doucet, S.P., Neuss, D., Bernstein, A., Na, E.: Sign language and spoken language for children with hearing loss: a systematic review. Pediatrics 137(1), e20151974 (2016) Lane, H.: A chronology of the oppression of sign language in France and the United States. In: Recent perspectives on American Sign Language, pp. 119–161. Psychology Press (2017) Viloria, A., Parody, A.: Methodology for obtaining a predictive model academic performance of students from first partial note and percentage of absence. Indian J. Sci. Technol. 9, 46 (2016) |
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amelec, viloriaLlerena-Rangel, IsabelPineda, Omar2020-11-12T21:56:34Z2020-11-12T21:56:34Z20202021-06-1921945357https://hdl.handle.net/11323/7297Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Language is the means of human access to the world. Languages have the virtue of opening up alternative ways of thinking and understanding the place people inhabit, relating to it, expanding it and modifying it. As a possibility of communication, languages open up opportunities to relate to other people, to get closer to them and to develop a broader understanding of the social and the human elements [1]. This research presents a visual tool designed to allow the learning of multiple words that are part of Spanish Sign Language (SSL) through an anthropomorphic model that is completely manipulable and programmable.amelec, viloria-will be generated-orcid-0000-0003-2673-6350-600Llerena-Rangel, Isabel-will be generated-orcid-0000-0002-1645-0220-600Pineda, Omar-will be generated-orcid-0000-0002-8239-3906-600application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbAdvances in Intelligent Systems and Computinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089719352&doi=10.1007%2f978-3-030-53036-5_27&partnerID=40&md5=f8e9eb27349f02d45442c166667827f0LanguageLearning signVirtual reality toolVirtual reality tool for learning sign language in spanishPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionRodríguez-Ortiz, I.R., Pérez, M., Valmaseda, M., Cantillo, C., Díez, M.A., Montero, I., Moreno-Pérez, F.J., Pardo-Guijarro, M.J., Saldaña, D.: A Spanish Sign Language (LSE) adaptation of the communicative development inventories. J. Deaf Stud. Deaf Educ. 25(1), 105–114 (2020)Singleton, J.L., Quinto-Pozos, D., Martinez, D.: Typical and atypical sign language learners. In: The Routledge Handbook of Sign Language Pedagogy (2019)Gago, J.J., Victores, J.G., Balaguer, C.: Sign language representation by teo humanoid robot: end-user interest, comprehension and satisfaction. Electronics 8(1), 57 (2019)Villameriel, S., Costello, B., Dias, P., Giezen, M., Carreiras, M.: Language modality shapes the dynamics of word and sign recognition. Cognition 191, 103979 (2019)Li, D., Rodriguez, C., Yu, X., Li, H.: Word-level deep sign language recognition from video: a new large-scale dataset and methods comparison. In: The IEEE Winter Conference on Applications of Computer Vision, pp. 1459–1469 (2020)Beal, J.: University American Sign Language (ASL) second language learners: receptive and expressive ASL performance. J. Interpret. 28(1), 1 (2020)Malaia, E.A., Krebs, J., Roehm, D., Wilbur, R.B.: Age of acquisition effects differ across linguistic domains in sign language: EEG evidence. Brain Lang. 200, 104708 (2020)Stoll, S., Camgöz, N.C., Hadfield, S., Bowden, R.: Sign language production using neural machine translation and generative adversarial networks. In: 29th British Machine Vision, Northumbria University, Newcastle Upon Tyne, UK (2018)Chung, S., Lim, J.Y., Ju Noh, K., Kim, G., Jeong, H.: Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning (2019)Chung, S., Lim, J.Y., Ju Noh, K., Kim, G., Jeong, H.: Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning (2019)Gutierrez-Sigut, E., Costello, B., Baus, C., Carreiras, M.: LSE-sign: a lexical database for Spanish Sign Language. Behav. Res. Methods 48(1), 123–137 (2016)Parcheta, Z., Martínez-Hinarejos, C.D.: Sign language gesture recognition using HMM. In: Iberian Conference on Pattern Recognition and Image Analysis, pp. 419–426. Springer, Cham, June 2017Goldin-Meadow, S., Brentari, D.: Gesture, sign, and language: the coming of age of sign language and gesture studies. Behav. Brain Sci. 40, 1–60 (2017)Ebling, S., Camgöz, N.C., Braem, P.B., Tissi, K., Sidler-Miserez, S., Stoll, S., Hadfield, S., Haug, T., Bowden, R., Tornay, S., Razavi, M.: SMILE Swiss German sign language dataset. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 2018Torres Samuel, M., Vásquez, C., Viloria, A., Hernández Fernandez, L., Portillo Medina, R.: Analysis of patterns in the university Word Rankings Webometrics, Shangai, QS and SIRScimago: case Latin American. Lecture Notes in Computer Science (Including subseries Lecture Notes in Artificial Intelligent and Lecture Notes in Bioinformatics (2018)Mulík, S., Carrasco-Ortiz, H., Amengual, M.: Phonological activation of first language (Spanish) and second language (English) when learning third language (Slovak) novel words. Int. J. Bilingualism 23(5), 1024–1040 (2019)Viloria, A., Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Godoy, A.R.M., Moreno, G.C., Kamatkar, S.J.: Methodology for the design of a student pattern recognition tool to facilitate the teaching-learning process through knowledge data discovery (big data). In: International Conference on Data Mining and Big Data, pp. 670–679. Springer, Cham, June 2018Lu, X., Zheng, Y., Ren, W.: Motivation for learning Spanish as a foreign language: the case of Chinese L1 speakers at university level. Círculo de Lingüistica Aplicada a la Comunicación 79, 79–99 (2018)Lonigan, C.J., Allan, D.M., Goodrich, J.M., Farrington, A.L., Phillips, B.M.: Inhibitory control of Spanish-speaking language-minority preschool children: measurement and association with language, literacy, and math skills. J. Learn. Disabil. 50(4), 373–385 (2017)Zink, D.N., Reyes, E., Kuwabara, H., Strauss, G.P., Allen, D.N.: Factorial validity of the emotional verbal learning test-spanish (EVLT-S). Arch. Clin. Neuropsychol. 34(7), 1283 (2019)Ahmed, M.A., Zaidan, B.B., Zaidan, A.A., Salih, M.M., Lakulu, M.M.B.: A review on systems-based sensory gloves for sign language recognition state of the art between 2007 and 2017. Sensors 18(7), 2208 (2018)Fitzpatrick, E.M., Hamel, C., Stevens, A., Pratt, M., Moher, D., Doucet, S.P., Neuss, D., Bernstein, A., Na, E.: Sign language and spoken language for children with hearing loss: a systematic review. Pediatrics 137(1), e20151974 (2016)Lane, H.: A chronology of the oppression of sign language in France and the United States. In: Recent perspectives on American Sign Language, pp. 119–161. Psychology Press (2017)Viloria, A., Parody, A.: Methodology for obtaining a predictive model academic performance of students from first partial note and percentage of absence. Indian J. Sci. 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