Literatura académica sobre el tema "Human Signed Language"
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Artículos de revistas sobre el tema "Human Signed Language"
Corina, David P. y Heather Patterson Knapp. "Signed Language and Human Action Processing". Annals of the New York Academy of Sciences 1145, n.º 1 (diciembre de 2008): 100–112. http://dx.doi.org/10.1196/annals.1416.023.
Texto completoGabarró-López, Sílvia y Laurence Meurant. "Contrasting signed and spoken languages". Languages in Contrast 22, n.º 2 (23 de agosto de 2022): 169–94. http://dx.doi.org/10.1075/lic.00024.gab.
Texto completoSlobin, Dan Isaac. "Breaking the Molds: Signed Languages and the Nature of Human Language". Sign Language Studies 8, n.º 2 (2008): 114–30. http://dx.doi.org/10.1353/sls.2008.0004.
Texto completoRobinson, Octavian. "Puppets, Jesters, Memes, and Benevolence Porn: The Spectacle of Access". Przegląd Kulturoznawczy, n.º 3 (53) (14 de diciembre de 2022): 329–44. http://dx.doi.org/10.4467/20843860pk.22.024.16613.
Texto completoCorina, David. "Sign language and the brain: Apes, apraxia, and aphasia". Behavioral and Brain Sciences 19, n.º 4 (diciembre de 1996): 633–34. http://dx.doi.org/10.1017/s0140525x00043338.
Texto completoThompson, Robin L., David P. Vinson, Bencie Woll y Gabriella Vigliocco. "The Road to Language Learning Is Iconic". Psychological Science 23, n.º 12 (12 de noviembre de 2012): 1443–48. http://dx.doi.org/10.1177/0956797612459763.
Texto completoWolfe, Rosalee, John C. McDonald, Thomas Hanke, Sarah Ebling, Davy Van Landuyt, Frankie Picron, Verena Krausneker, Eleni Efthimiou, Evita Fotinea y Annelies Braffort. "Sign Language Avatars: A Question of Representation". Information 13, n.º 4 (18 de abril de 2022): 206. http://dx.doi.org/10.3390/info13040206.
Texto completoMcburney, Susan Lloyd. "William Stokoe and the discipline of sign language linguistics". Historiographia Linguistica 28, n.º 1-2 (7 de septiembre de 2001): 143–86. http://dx.doi.org/10.1075/hl.28.1.10mcb.
Texto completoWilbur, Ronnie B. "What does the study of signed languages tell us about ‘language’?" Investigating Understudied Sign Languages - Croatian SL and Austrian SL, with comparison to American SL 9, n.º 1-2 (31 de diciembre de 2006): 5–32. http://dx.doi.org/10.1075/sll.9.1.04wil.
Texto completoKnapp, Heather Patterson y David P. Corina. "A human mirror neuron system for language: Perspectives from signed languages of the deaf". Brain and Language 112, n.º 1 (enero de 2010): 36–43. http://dx.doi.org/10.1016/j.bandl.2009.04.002.
Texto completoTesis sobre el tema "Human Signed Language"
Schneider, Andréia Rodrigues de Assunção. "Animação de humanos virtuais aplicada para língua brasileira de sinais". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/15313.
Texto completoDeaf people have a limited capacity of using oral language to communicate. Because of this, they use gestural languages as their native language. This makes it especially difficult for them to make use of basic services in a satisfactory way and to properly integrate the hearing world, to which the majority of the population belongs. Due to the fact that this language is only gestural, it is possible to say that the signs it comprises of can be simulated with the animation of virtual humans without losing the correct perception of their inherent meanings (what words they represent). This work describes a technique of animation for LIBRAS. The main idea is to take the movement of a sign from a description of its animation and execute it in a more or less wide manner in order to better use the available space for gesticulation without losing the meaning. The computer animation of a sign must be as close to the real gesture as possible. Its meaning must be easily understood and its execution must be natural (smooth and continuous). For that, the signs must be defined in accordance with the movement limitations imposed by the human joints, and the field of view of the receiver. Besides that, some relevant parameters must be analyzed and defined: speed of the movement, time and amplitude of the signs. Another important aspect to be addressed is the space that is available for the execution of the sign: depending on the area, the sign must be animated in a manner that makes it properly fit in it. The implementation of the technique resulted in a animation system for LIBRAS, that consists of three modules: • a virtual human modeler, so that the joints and DOFs are anatomically consistent with reality; • a gesture generator, which is responsible for the processing of parameters such as speed, time of execution of the gesture, joint configuration, in a file that describes the animation of the pose. It is worth emphasizing that the words in LIBRAS are known as signs. Already a sign is composed of one or more gestures and they are composed of poses; • an animator, which is responsible for generating the animation of a previously created sign, fitting (if necessary) the sign amplitude to the space available for its animation. The generated system has been submitted for tests in order to validate the technique. The goal of the tests was to check whether the generated signs were understandable - if the generated animation represented a certain word. All aspects above are presented and analyzed in detail.
Losson, Olivier. "Modélisation du geste communicatif et réalisation d'un signeur virtuel de phrases en langue des signes grançaise". Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2000. http://tel.archives-ouvertes.fr/tel-00003332.
Texto completoBenchiheub, Mohamed-El-Fatah. "Contribution à l'analyse des mouvements 3D de la Langue des Signes Française (LSF) en Action et en Perception". Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS559/document.
Texto completoNowadays, Sign Language (SL) is still little described, particularly for what concerns the movement of articulators. Research on SL has focused on understanding and modeling linguistic properties. Few investigations have been carried out to understand the kinematics and dynamics of the movement itself and what it brings to understand the LS SL generated by models. This thesis deals with the analysis of movement in the French Sign Language LSF with a main focus on its production as well as its understanding by deaf people.Better understanding the movement in SL requires the creation of new resources for the scientific community studying SL. In this framework, we have created and annotated a corpus of 3D motion data from the upper body and face, using a motion capture system. The processing of this corpus made it possible to specify the kinematics of the movement in SL during the signs and the transitions.The first contribution of this thesis was to quantify to what extent certain classical laws, known in motor control, remained valid during the movements of SL, in order to know if the knowledge acquired in motor control could be exploited in SL.Finding relevant information of the movement that is crucial for understanding SL represented the second part of this thesis. We were basically interested to know which aspects of the movement of SL production models should be replicated as a priority. In this approach, we have examined to what extent deaf individuals, whether signers or not, were able to understand SL according to the amount of information available to them
Borgia, Fabrizio. "Informatisation d'une forme graphique des Langues des Signes : application au système d'écriture SignWriting". Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30030/document.
Texto completoThe studies and the software presented in this work are addressed to a relevant minority of our society, namely deaf people. Many studies demonstrate that, for several reasons, deaf people experience significant difficulties in exploiting a Vocal Language (VL English, Chinese, etc.). In fact, many of them prefer to communicate using Sign Language (SL). As computer scientists, we observed that SLs are currently a set of underrepresented linguistic minorities in the digital world. As a matter of fact, deaf people are among those individuals which are mostly affected by the digital divide. This work is our contribution towards leveling the digital divide affecting deaf people. In particular, we focused on the computer handling of SignWriting, which is one of the most promising systems devised to write SLs
Dielmann, Alfred. "Automatic recognition of multiparty human interactions using dynamic Bayesian networks". Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4022.
Texto completoHéloir, Alexis. "Agent virtuel signeur - Aide à la communication des personnes sourdes". Phd thesis, Université de Bretagne Sud, 2008. http://tel.archives-ouvertes.fr/tel-00516280.
Texto completoGustavsson, Lisa. "The language learning infant : effects of speech input, vocal output, and feedback /". Doctoral thesis, Stockholm : Department of Linguistics, Stockholm University, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-26735.
Texto completoMourenas, Argoud Line. "Les noms de parties du corps en anglais : approche lexico-cognitive". Toulouse 2, 2008. http://www.theses.fr/2008TOU20066.
Texto completoThe fundamental question this thesis sets out to explore is the following: does the lexicon of contemporary English exhibit traces of a notional invariance possiby dating back to a very early stage of the language? The answer is provided through the study of three initial consonant segments: bl-, kn-, and sk-. With this aim in view, three heuristic classes are set up, namely ‘bl- words', ‘kn- words', and ‘SK- words', the latter including lexemes beginning in sc-, sch-, sh-, sk-, and sq-. These three initial consonant segments have been chosen because they are representative of the three main types of English phonesthemes (CR-, ØR-, and SC-). The overall objective is to show that the semiological invariance of each of these classes corresponds to a notional invariance: I claim that these submorphemic segments are the surface marks of an invariance whose source may be traced back to a very ancient process of conceptualization and nomination of the human body. My study involves four dimensions: a lexicological analysis leading on to semantic and etymological analyses. Finally, drawing on various approaches of ‘cognitive' linguistics, I suggest a description of the way the brain conceptualizes the referents of the lexemes belonging to the three classes examined, based on the works of Lakoff & Johnson, Fauconnier & Turner, Langacker, and Talmy
Mercier, Hugo. "Modélisation et suivi des déformations faciales : applications à la description des expressions du visage dans le contexte de la langue des signes". Phd thesis, Université Paul Sabatier - Toulouse III, 2007. http://tel.archives-ouvertes.fr/tel-00185084.
Texto completoLe formalisme des modèles à apparence active (Active Appearance Models - AAM) est utilisé ici pour modéliser le visage en termes de déplacements d'un certain nombre de points d'intérêt et en termes de variations de texture. Quand il est associé à une méthode d'optimisation, ce formalisme permet de trouver les coordonnées des points d'intérêt sur un visage. Nous utilisons ici une méthode d'optimisation dite "à composition inverse", qui permet une implémentation efficace et l'obtention de résultats précis.
Dans le contexte de la langue des signes, les rotations hors-plan et les occultations manuelles sont fréquentes. Il est donc nécessaire de développer des méthodes robustes à ces conditions. Il existe pour cela une variante robuste des méthodes d'optimisation d'AAM qui permet de considérer une image d'entrée éventuellement bruitée.
Nous avons étendu cette variante de façon à ce que la détection des occultations puisse se faire de manière automatique, en supposant connu le comportement de l'algorithme dans le cas non-occulté.
Le résultat de l'algorithme est alors constitué des coordonnées 2D de chacun des points d'intérêt du modèle en chaque image d'une séquence vidéo, associées éventuellement à un score de confiance. Ces données brutes peuvent ensuite être exploitées dans plusieurs applications.
Nous proposons ainsi comme première application de décrire une séquence vidéo expressive en chaque instant par une combinaison de déformations unitaires activées à des intensités différentes. Une autre application originale consiste à traiter une vidéo de manière à empêcher l'identification d'un visage sans perturber la reconnaissance de ses expressions.
Sofia, Estanislao. "Le problème de la définition des entités linguistiques chez Ferdinand de Saussure". Phd thesis, Paris 10, 2009. http://tel.archives-ouvertes.fr/tel-00465625/en/.
Texto completoLibros sobre el tema "Human Signed Language"
1930-, Gardner R. Allen, Gardner Beatrix T. 1933- y Van Cantfort, Thomas E., 1949-, eds. Teaching sign language to chimpanzees. Albany: State University of New York Press, 1989.
Buscar texto completo1948-, Davidson Iain, ed. Human evolution, language, and mind: A psychological and archaeological inquiry. Cambridge: Cambridge University Press, 1996.
Buscar texto completoSilent partners: The legacy of ape language experiments. New York: Ballantine, 1987.
Buscar texto completoSilent partners: The legacy of the ape language experiments. New York: Times Books, 1986.
Buscar texto completoill, Bauer Stephanie, ed. There's a story in my head: Sign language for body parts. Minneapolis: Magic Wagon, 2012.
Buscar texto completoIpke, Wachsmuth y Fröhlich Martin, eds. Gesture and sign language in human-computer interaction: International Gesture Workshop, Bielefeld, Germany, September 17-19, 1997 : proceedings. Berlin: Springer, 1998.
Buscar texto completoNeustein, Amy. Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems. New York, NY: Springer New York, 2013.
Buscar texto completoHess, Elizabeth. Nim Chimpsky: The chimp who would be human. New York: Bantam Books, 2008.
Buscar texto completoHess, Elizabeth. Nim Chimpsky: The chimp who would be human. New York: Bantam Books, 2008.
Buscar texto completoHess, Elizabeth. Nim chimpsky: The chimp who would be human. Waterville, Me: Thorndike Press, 2008.
Buscar texto completoCapítulos de libros sobre el tema "Human Signed Language"
Wilcox, Sherman y Jill P. Morford. "Empirical methods in signed language research". En Human Cognitive Processing, 171–200. Amsterdam: John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/hcp.18.14wil.
Texto completoCrasborn, Onno y Menzo Windhouwer. "ISOcat Data Categories for Signed Language Resources". En Gesture and Sign Language in Human-Computer Interaction and Embodied Communication, 118–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34182-3_11.
Texto completoKosecki, Krzysztof. "Western Conception of Time in Signed Languages: a Cognitive Linguistic Perspective". En Human Cognitive Processing, 85–102. Amsterdam: John Benjamins Publishing Company, 2016. http://dx.doi.org/10.1075/hcp.52.05kos.
Texto completoBono, Mayumi, Tomohiro Okada, Kouhei Kikuchi, Rui Sakaida, Victor Skobov, Yusuke Miyao y Yutaka Osugi. "Chapter 13. Utterance unit annotation for the Japanese Sign Language Dialogue Corpus". En Advances in Sign Language Corpus Linguistics, 353–82. Amsterdam: John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/scl.108.13bon.
Texto completoFang, Gaolin, Wen Gao, Xilin Chen, Chunli Wang y Jiyong Ma. "Signer-Independent Continuous Sign Language Recognition Based on SRN/HMM". En Gesture and Sign Language in Human-Computer Interaction, 76–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47873-6_8.
Texto completoKrňoul, Zdeněk, Pavel Jedlička, Miloš Železný y Luděk Müller. "Motion Capture 3D Sign Language Resources". En European Language Grid, 307–12. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17258-8_21.
Texto completoEdwards, Alistair D. N. "Progress in sign language recognition". En Gesture and Sign Language in Human-Computer Interaction, 13–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0052985.
Texto completoda Rocha Costa, Antônio Carlos y Graçaliz Pereira Dimuro. "SignWriting-Based Sign Language Processing". En Gesture and Sign Language in Human-Computer Interaction, 202–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47873-6_22.
Texto completoFröhlich, Martin y Ipke Wachsmuth. "Gesture recognition of the upper limbs — From signal to symbol". En Gesture and Sign Language in Human-Computer Interaction, 173–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0052998.
Texto completoAntzakas, Klimis y Bencie Woll. "Head Movements and Negation in Greek Sign Language". En Gesture and Sign Language in Human-Computer Interaction, 193–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47873-6_20.
Texto completoActas de conferencias sobre el tema "Human Signed Language"
Godage, Ishika, Ruvan Weerasignhe y Damitha Sandaruwan. "Sign Language Recognition for Sentence Level Continuous Signings". En 10th International Conference on Natural Language Processing (NLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112305.
Texto completoKrishnan, Vinodh y Jacob Eisenstein. ""You’re Mr. Lebowski, I’m the Dude": Inducing Address Term Formality in Signed Social Networks". En Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/n15-1185.
Texto completoK. Aryal, Saurav, Howard Prioleau y Gloria Washington. "Sentiment Classification of Code-Switched Text using Pre-Trained Multilingual Embeddings and Segmentation". En 8th International Conference on Signal, Image Processing and Embedded Systems (SIGEM 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.122013.
Texto completoFink, Jérôme, Pierre Poitier, Maxime André, Loup Meurice, Benoît Frénay, Anthony Cleve, Bruno Dumas y Laurence Meurant. "Sign Language-to-Text Dictionary with Lightweight Transformer Models". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/662.
Texto completoNyaga, Casam y Ruth Wario. "Towards Kenyan Sign Language Hand Gesture Recognition Dataset". En 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003281.
Texto completoReis, Luana Silva, Tiago Maritan U. De Araújo, Yuska Paola Costa Aguiar, Manuella Aschoff C. B. Lima y Angelina S. da Silva Sales. "Assessment of the Treatment of Grammatical Aspects of Machine Translators to Libras". En XXIV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/webmedia.2018.4570.
Texto completoWu, Annie y Yu Sun. "A Machine Learning Model that Analyzes Surrounding Road Signs to Eliminate Dangers Caused by Human Operational Error". En 4th International Conference on Natural Language Processing and Machine Learning. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130813.
Texto completoTokumaru, Kumon. "The Three Stage Digital Evolution of Linguistic Humans". En GLOCAL Conference on Asian Linguistic Anthropology 2019. The GLOCAL Unit, SOAS University of London, 2019. http://dx.doi.org/10.47298/cala2019.12-2.
Texto completoMiral Kazmi, Syeda. "Hand Gesture Recognition for Sign language". En Human Interaction and Emerging Technologies (IHIET-AI 2022) Artificial Intelligence and Future Applications. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100925.
Texto completoLi, Zhengxue y Gaoyun An. "Human-Object Interaction Prediction with Natural Language Supervision". En 2022 16th IEEE International Conference on Signal Processing (ICSP). IEEE, 2022. http://dx.doi.org/10.1109/icsp56322.2022.9965210.
Texto completoInformes sobre el tema "Human Signed Language"
Sayers, Dave, Rui Sousa-Silva, Sviatlana Höhn, Lule Ahmedi, Kais Allkivi-Metsoja, Dimitra Anastasiou, Štefan Beňuš et al. The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies. Open Science Centre, University of Jyväskylä, mayo de 2021. http://dx.doi.org/10.17011/jyx/reports/20210518/1.
Texto completoCrispin, Darla. Artistic Research as a Process of Unfolding. Norges Musikkhøgskole, agosto de 2018. http://dx.doi.org/10.22501/nmh-ar.503395.
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