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Emotional Speech Recognition Using Deep Neural Networks
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In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
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Realistic motion avatars are the future for social interaction in virtual reality
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In: Research outputs 2022 to 2026 (2022)
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Emotional Speech Recognition Using Deep Neural Networks
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In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
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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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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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Motion synthesis and editing for the generation of new sign language content
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In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.inria.fr/hal-03324348 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-021-09268-y⟩ (2021)
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When Hands Are Used to Communicate, They Are Less Susceptible to Illusion Than When They Are Used to Estimate ...
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When hands are used to communicate they are less susceptible to illusion than when they are used to estimate ...
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Applications of Pose Estimation in Human Health and Performance across the Lifespan
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In: Sensors ; Volume 21 ; Issue 21 (2021)
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Abstract:
The emergence of pose estimation algorithms represents a potential paradigm shift in the study and assessment of human movement. Human pose estimation algorithms leverage advances in computer vision to track human movement automatically from simple videos recorded using common household devices with relatively low-cost cameras (e.g., smartphones, tablets, laptop computers). In our view, these technologies offer clear and exciting potential to make measurement of human movement substantially more accessible ; for example, a clinician could perform a quantitative motor assessment directly in a patient’s home, a researcher without access to expensive motion capture equipment could analyze movement kinematics using a smartphone video, and a coach could evaluate player performance with video recordings directly from the field. In this review, we combine expertise and perspectives from physical therapy, speech-language pathology, movement science, and engineering to provide insight into applications of pose estimation in human health and performance. We focus specifically on applications in areas of human development, performance optimization, injury prevention, and motor assessment of persons with neurologic damage or disease. We review relevant literature, share interdisciplinary viewpoints on future applications of these technologies to improve human health and performance, and discuss perceived limitations.
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Keyword:
artificial intelligence; assessment; computer vision; development; kinematics; machine learning; markerless motion capture; movement tracking; pose estimation
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URL: https://doi.org/10.3390/s21217315
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Evolution of human computer interaction
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In: Sci. Visualization ; Scientific Visualization (2021)
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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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Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
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Kucherenko, Taras; Henter, Gustav Eje; Beskow, Jonas. - : KTH, Tal, musik och hörsel, TMH, 2020. : KTH, Robotik, perception och lärande, RPL, 2020. : Wiley, 2020
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Theoretical and corpus-based investigation of the relation between sensorimotor processes and linguistic structure
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Annotation and data-driven synthesis of facial expressions of French sign language ; Annotation et synthèse basée données des expressions faciales de la Langue des Signes Française
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In: https://hal.archives-ouvertes.fr/tel-03080311 ; Computer science. Université Bretagne-Sud, 2019. English (2019)
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The SignAge Corpus: Recording older signers with low cost motion capture devices
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In: Corpora for Language and Aging Research (CLARe 4) ; https://hal.archives-ouvertes.fr/hal-02065452 ; Corpora for Language and Aging Research (CLARe 4), Feb 2019, Helsinki, Finland (2019)
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A Workflow for Real-time Visualization and Data Analysis of Gesture using Motion Capture
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In: A Workflow for Real-time Visualization and Data Analysis of Gesture using Motion Capture ; MOCO '19: 6th International Conference on Movement and Computing ; https://hal.archives-ouvertes.fr/hal-02474193 ; MOCO '19: 6th International Conference on Movement and Computing, Oct 2019, TEMPE AZ, United States. pp.1-6, ⟨10.1145/3347122.3359598⟩ (2019)
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A Workflow for Real-time Visualization and Data Analysis of Gesture using Motion Capture
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In: Moco'19, 6th International Conference on Movement and Computing ; https://hal.archives-ouvertes.fr/hal-02341402 ; Moco'19, 6th International Conference on Movement and Computing, Oct 2019, Tempe, United States. 2019, ⟨10.475/1234⟩ ; https://moco19.movementcomputing.org/ (2019)
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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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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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Signing amplitude and other prosodic cues in older signers: Insights from motion capture from the SignAge Corpus
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In: Corpora for Language and Aging Research (CLARe 4) ; https://hal.archives-ouvertes.fr/hal-02065437 ; Corpora for Language and Aging Research (CLARe 4), Feb 2019, Helsinki, Finland ; https://www.helsinki.fi/en/conferences/corpora-for-language-and-aging-research-4 (2019)
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