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European Language Equality - Report on the French Language
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In: https://hal.archives-ouvertes.fr/hal-03637776 ; [Research Report] CNRS - LISN. 2022 (2022)
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Automatic Annotation and Segmentation of Sign Language Videos: Base-level Features and Lexical Signs Classification
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In: 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) ; https://hal.archives-ouvertes.fr/hal-03375858 ; 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021), Feb 2021, Online streaming, France. pp.484-491, ⟨10.5220/0010247104840491⟩ (2021)
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Decomposing spontaneous sign language into elementary movements: A principal component analysis-based approach
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-03411455 ; PLoS ONE, Public Library of Science, 2021, 16 (10), pp.e0259464. ⟨10.1371/journal.pone.0259464⟩ (2021)
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Machine Learning of Motion Statistics Reveals the Kinematic Signature of the Identity of a Person in Sign Language
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In: ISSN: 2296-4185 ; Frontiers in Bioengineering and Biotechnology ; https://hal.archives-ouvertes.fr/hal-03298752 ; Frontiers in Bioengineering and Biotechnology, Frontiers, 2021, 9, ⟨10.3389/fbioe.2021.710132⟩ (2021)
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Machine Translation ; Machine Translation: Special Issue: Sign Language Translation and Avatar Technology
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In: https://hal.archives-ouvertes.fr/hal-03375911 ; 35 (3), Springer, 2021, Special Issue: Sign Language Translation and Avatar Technology (2021)
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| 6 |
How Fast Is Sign Language? A Reevaluation of the Kinematic Bandwidth Using Motion Capture
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In: 29th European Signal Processing Conference (EUSIPCO 2021) ; https://hal.archives-ouvertes.fr/hal-03351256 ; 29th European Signal Processing Conference (EUSIPCO 2021), 2021, Online streaming, France (2021)
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| 7 |
The myth of signing avatars
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In: Proceedings of the 18th Biennial Machine Translation Summit ; 1st International Workshop on Automatic Translation for Signed and Spoken Languages ; https://hal.archives-ouvertes.fr/hal-03375968 ; 1st International Workshop on Automatic Translation for Signed and Spoken Languages, Aug 2021, Online streaming, France (2021)
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| 8 |
Dicta-Sign–LSF–v2 : étendre le traitement automatique des langues des signes grâce à un corpus de dialogue en Langue des Signes
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In: Minority languages spoken or signed and inclusive spaces ; https://hal.archives-ouvertes.fr/hal-03450108 ; Minority languages spoken or signed and inclusive spaces, 2021, Asynchronous online event, France (2021)
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| 9 |
Experimenting the Automatic Recognition of Non-Conventionalized Units in Sign Language
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In: ISSN: 1999-4893 ; Algorithms ; https://hal.archives-ouvertes.fr/hal-03060271 ; Algorithms, MDPI, 2020, 13, pp.310-345. ⟨10.3390/a13120310⟩ (2020)
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| 10 |
Towards Continuous Recognition of Illustrative and Spatial Structures in Sign Language
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In: ECCV Sign Language Recognition, Translation and Production Workshop ; https://hal.archives-ouvertes.fr/hal-03060270 ; ECCV Sign Language Recognition, Translation and Production Workshop, Springer, Aug 2020, Glasgow, United Kingdom (2020)
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| 11 |
MEDIAPI-SKEL -A 2D-Skeleton Video Database of French Sign Language With Aligned French Subtitles
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-02952340 ; 12th Conference on Language Resources and Evaluation (LREC 2020), Jun 2020, Marseille, France. pp.6063-6068 (2020)
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| 12 |
Automatic Segmentation of Sign Language into Subtitle-Units
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In: Computer Vision – ECCV 2020 Workshops ; Sign Language Recognition, Translation & Production workshop ; https://hal.archives-ouvertes.fr/hal-03098684 ; Sign Language Recognition, Translation & Production workshop, Aug 2020, Glasgow ( virtual ), United Kingdom. ⟨10.1007/978-3-030-66096-3_14⟩ (2020)
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| 13 |
Person Identification Based on Sign Language Motion: Insights from Human Perception and Computational Modeling
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In: International Conference on Movement and Computing ; https://hal.archives-ouvertes.fr/hal-03078733 ; International Conference on Movement and Computing, ACM, Jul 2020, Jersey City / Virtual, United States. ⟨10.1145/3401956.3404187⟩ (2020)
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| 14 |
Automatic recognition of Sign Language structures in RGB videos: the detection of pointing and lexical signs
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In: https://hal.archives-ouvertes.fr/hal-02146368 ; 2019 (2019)
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| 15 |
Optimization of a gesture representation network for Sign Language analysis
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In: https://hal.archives-ouvertes.fr/hal-02146369 ; 2019 (2019)
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| 16 |
Towards an Automatic Annotation of French Sign Language Videos: Detection of Lexical Signs
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In: CAIP 2019: Computer Analysis of Images and Patterns ; https://hal.archives-ouvertes.fr/hal-03058012 ; CAIP 2019: Computer Analysis of Images and Patterns, Sep 2019, Salerno, Italy. pp.402-412, ⟨10.1007/978-3-030-29891-3_35⟩ (2019)
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| 17 |
Retrieving Human Traits from Gesture in Sign Language : The Example of Gestural Identity
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In: International Conference on Movement and Computing ; https://hal.archives-ouvertes.fr/hal-02400930 ; International Conference on Movement and Computing, Oct 2019, Tempe, United States. pp.1-4, ⟨10.1145/3347122.3359607⟩ (2019)
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| 18 |
Animating virtual signers : the issue of gestural anonymization
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In: International Conference on Intelligent Virtual Agents ; https://hal.archives-ouvertes.fr/hal-02400928 ; International Conference on Intelligent Virtual Agents, ACM, Jul 2019, Paris, France. pp.252-255, ⟨10.1145/3308532.3329410⟩ (2019)
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Abstract:
International audience ; This paper presents an ongoing PhD research project on visualperception and motion analysis applied to virtual signers (virtualagents used for Sign Language interaction).Virtual signers (or signing avatars) play an important role inthe accesibility of information in sign languages. They have beendeveloped notably for their capability to anonymize shape and ap-pearance of the content producer. While motion capture provideshuman-like, realistic and comprehensible signing animations, italso arises the question of anonymity. Human body movementscontain important information about a person’s identity, genderor emotional state. In the present work, we want to address theproblem of gestural identity in the context of animated agents inFrench Sign Language. The ability to identify a person from sign-ing motion will be assessed through psychophysical experiments,using point-light displays. We will then develop a computationalframework in order to investigate which features are critical forperson identification and to control them over the virtual agent.
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Keyword:
[INFO]Computer Science [cs]; Identity Recognition; Motion Capture; Perception; Sign Language; Virtual Signer
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URL: https://hal.archives-ouvertes.fr/hal-02400928/file/IVA2019_bigand.pdf
https://hal.archives-ouvertes.fr/hal-02400928
https://hal.archives-ouvertes.fr/hal-02400928/document
https://doi.org/10.1145/3308532.3329410
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| 19 |
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
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In: The 21st International ACM SIGACCESS Conference on Computers and Accessibility ; https://hal.archives-ouvertes.fr/hal-02394580 ; The 21st International ACM SIGACCESS Conference on Computers and Accessibility, Oct 2019, Pittsburgh, United States (2019)
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| 20 |
Signing Avatar Motion: Combining Naturality and Anonymity
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In: International Workshop on Sign Language Translation and Avatar Technology ; https://hal.archives-ouvertes.fr/hal-02400929 ; International Workshop on Sign Language Translation and Avatar Technology, Sep 2019, Hambourg, Germany (2019)
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