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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6...8 Hits 21 – 40 of 154 21 Capturing and Animating Hand and Finger Motion for 3D Communicative Characters Wheatland, Nkenge Safiya. - : eScholarship, University of California, 2016 In: Wheatland, Nkenge Safiya. (2016). Capturing and Animating Hand and Finger Motion for 3D Communicative Characters. UC Riverside: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/39w9397t (2016) Abstract: The process of animating detailed motion for virtual characters is a difficult task and researchers and animators work tirelessly to bring life to these characters. Though many methods have been developed over the years to facilitate aspects of 3D character animation, creating realistic virtual humans is still a challenge. This is partly because of the way virtual characters move. People are highly sensitive to human motion and that sensitivity can influence how a person feels about a character they are viewing in a video or a movie. Though the motion of hands is on smaller scale than that of the full body, hand motions also contribute to how people feel about the "realness" of a character. This is especially true for communicative characters. Many people gesticulate when speaking and virtual characters should as well to appear natural. Also, there are many people who communicate using sign languages, gesture-based languages that use specific hand shapes and full-body body motions to convey complex thoughts and ideas. American Sign Language (ASL) is used in the United States. Characters that can naturally perform ASL would be beneficial to the many deaf Americans whose first language is ASL. Deaf adults who communicate primarily using ASL tend to read English at a middle school level. Therefore, a virtual signing character can be useful for many applications, such as computing, where much of the information is presented to the user as text or sound. Optical marker motion capture is the industry standard for recording human motion to be applied to virtual characters. But this form of motion capture has many drawbacks, notably in its ability to capture detailed full body and hand motion simultaneously. A benefit of motion capture is its ability to record the rhythm and timing of a person’s motions. Timing contributes to how natural a virtual character appears and is also an important aspect of conversational hand motions. We propose methods to capture and animate hand motion for the purposes of gestural communication and sign language. We have developed techniques to construct high dimensional hand animations from low-dimensional captures using tools such as nearest neighbor selection from a clustered set, principle component analysis, and locally weighted regression. These methods allow for simultaneous capture of the hands and full body of a communicative person. We also present a model to automatically produce natural timing and rhythm for the synthesis of ASL fingerspelling. The data driven model employs a naive Bayes classifier to predict the length of each letter hold and a simple linear regression to predict the length of each inter-letter transition. We analyze the results of this approach quantitatively and also qualitatively by performing a perceptual study. Our goal is to contribute to the ongoing research of creating compelling 3D characters for computer applications aimed at the sign language community. Keyword: computer animation; Computer science; motion capture URL: http://www.escholarship.org/uc/item/39w9397t BASE Hide details 22 Character Modeling through Dialogue for Expressive Natural Language Generation Lin, Grace. - : eScholarship, University of California, 2016 In: Lin, Grace. (2016). Character Modeling through Dialogue for Expressive Natural Language Generation. UC Santa Cruz: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/9c0563w9 (2016) BASE Show details 23 Exploring and Supporting Today's Collaborative Writing Wang, Dakuo. - : eScholarship, University of California, 2016 In: Wang, Dakuo. (2016). Exploring and Supporting Today's Collaborative Writing. UC Irvine: Information and Computer Science. Retrieved from: http://www.escholarship.org/uc/item/7441493c (2016) BASE Show details 24 Artificial Intelligence as a Tool for Understanding Narrative Choices Mawhorter, Peter Andrew. - : eScholarship, University of California, 2016 In: Mawhorter, Peter Andrew. (2016). Artificial Intelligence as a Tool for Understanding Narrative Choices. UC Santa Cruz: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/1tn22145 (2016) BASE Show details 25 Semantic Interoperability of Multilingual Lexical Resources in Lexical Linked Data ; Interopérabilité Sémantique Multi-lingue des Ressources Lexicales en Données Liées Ouvertes Tchechmedjiev, Andon. - : HAL CCSD, 2016 In: https://tel.archives-ouvertes.fr/tel-01681358 ; Informatique et langage [cs.CL]. Université Grenoble Alpes, 2016. Français. ⟨NNT : 2016GREAM067⟩ (2016) BASE Show details 26 Role of gaze in face-to-face interactions and its analysis among social cues ; Le regard dans les interactions lors d’entretiens en face à face et son analyse parmi les signaux sociaux Bovée, Samuel. - : HAL CCSD, 2016 In: https://hal-normandie-univ.archives-ouvertes.fr/tel-02552250 ; Traitement des images [eess.IV]. Normandie Université, 2016. Français (2016) BASE Show details 27 Surface Realisation from Knowledge Bases ; Bases de Connaissances et Réalisation de Surface Gyawali, Bikash. - : HAL CCSD, 2016 In: https://hal.inria.fr/tel-01754499 ; Computation and Language [cs.CL]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0004⟩ (2016) BASE Show details 28 Questioning scientific texts ; Interroger le texte scientifique Cabanac, Guillaume. - : HAL CCSD, 2016 In: https://tel.archives-ouvertes.fr/tel-01413878 ; Réseaux sociaux et d'information [cs.SI]. Université Toulouse 3 - Paul Sabatier, 2016 (2016) BASE Show details 29 RDF Data Interlinking : evaluation of Cross-lingual Methods ; Liage de données RDF : évaluation d'approches interlingues Lesnikova, Tatiana. - : HAL CCSD, 2016 In: https://tel.archives-ouvertes.fr/tel-01366030 ; Artificial Intelligence [cs.AI]. Université Grenoble Alpes, 2016. English. ⟨NNT : 2016GREAM011⟩ (2016) BASE Show details 30 Semantic Interoperability of Multilingual Lexical Resources as Lexical Linked Data ; Interopérabilité sémantique multilingue des ressources lexicales en données lexicales liées ouvertes Tchechmedjiev, Andon. - : HAL CCSD, 2016 In: https://tel.archives-ouvertes.fr/tel-01425123 ; Intelligence artificielle [cs.AI]. Université Grenoble Alpes, 2016. Français (2016) BASE Show details 31 Textual Inference for Machine Comprehension ; Inférence textuelle pour la compréhension automatique Gleize, Martin. - : HAL CCSD, 2016 In: https://tel.archives-ouvertes.fr/tel-01317577 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2016. English. ⟨NNT : 2016SACLS004⟩ (2016) BASE Show details 32 Effects and handlers in natural language ; Les effects et les handlers dans le langage naturel Maršík, Jiří. - : HAL CCSD, 2016 In: https://hal.inria.fr/tel-01417467 ; Computation and Language [cs.CL]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0322⟩ (2016) BASE Show details 33 Discriminative Training Procedure for Continuous-Space Translation Models ; Apprentissage discriminant des modèles continus en traduction automatique Do, Quoc khanh. - : HAL CCSD, 2016 In: https://tel.archives-ouvertes.fr/tel-01315755 ; Apprentissage [cs.LG]. Université Paris Saclay (COmUE), 2016. Français. ⟨NNT : 2016SACLS071⟩ (2016) BASE Show details 34 French Social Media Mining : Expertise and Sentiment ; Fouille des médias sociaux français : expertise et sentiment Abdaoui, Amine. - : HAL CCSD, 2016 In: https://hal-lirmm.ccsd.cnrs.fr/tel-01507494 ; Artificial Intelligence [cs.AI]. Université Montpellier, 2016. English. ⟨NNT : 2016MONTT249⟩ (2016) BASE Show details 35 Confidence Measures for Alignment and for Machine Translation ; Mesures de Confiance pour l’Alignement et pour la Traduction Automatique Xu, Yong. - : HAL CCSD, 2016 In: https://tel.archives-ouvertes.fr/tel-01399222 ; Signal and Image Processing. Université Paris Saclay (COmUE), 2016. English. ⟨NNT : 2016SACLS270⟩ (2016) BASE Show details 36 Automatic processing of Tunisian dialect: construction of linguistic resources ; TRAITEMENT AUTOMATIQUE DU DIALECTE TUNISIEN : CONSTRUCTION DE RESSOURCES LINGUISTIQUES Zribi, Inès. - : HAL CCSD, 2016 In: https://hal.archives-ouvertes.fr/tel-02869866 ; Informatique et langage [cs.CL]. Université de Sfax (Tunisie), 2016. Français (2016) BASE Show details 37 Construction de dictionnaire électronique des verbes du malgache Ranaivoarison, Joro Ny Aina. - : HAL CCSD, 2016. : Editions universitaires europeennes, 2016 In: https://hal.archives-ouvertes.fr/hal-01371850 ; Editions universitaires europeennes, 2016, 978-3-8417-2775-6 ; https://www.editions-ue.com/ (2016) BASE Show details 38 Dispositivi formativi e modalità ibride per l’apprendimento linguistico Cervini, Cristiana; Valdivieso, Anabel. - : HAL CCSD, 2016 In: https://hal.archives-ouvertes.fr/hal-01942392 ; 2016 (2016) BASE Show details 39 Named Entities for Computational Linguistics Nouvel, Damien; Ehrmann, Maud; Rosset, Sophie. - : HAL CCSD, 2016 In: https://hal-inalco.archives-ouvertes.fr/hal-01359440 ; 2016 (2016) BASE Show details 40 Handbook Twitter for Research, 2015 / 2016 Levallois, Clement; Marchand, Morgane; Mata, Tiago. - : HAL CCSD, 2016. : EMLYON Press, 2016 In: https://hal.archives-ouvertes.fr/hal-01257444 ; France. EMLYON Press, 2016, 978-1523263394. ⟨10.5281/zenodo.44882⟩ (2016) BASE Show details Page: 1 2 3 4 5 6...8

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