EMOKINE: A software package and computational framework for scaling up the creation of highly controlled emotional full-body movement datasets.
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| Title: | EMOKINE: A software package and computational framework for scaling up the creation of highly controlled emotional full-body movement datasets. |
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| Authors: | Christensen JF; Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt/M, Germany. julia.christensen@ae.mpg.de., Fernández A; Methods of Machine Learning, University of Tübingen, Tübingen, Germany.; International Max Planck Research School for Intelligent Systems, Tübingen, Germany., Smith RA; Department of Psychology, University of Glasgow, Glasgow, Scotland., Michalareas G; Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt/M, Germany., Yazdi SHN; WiseWorld.AI, Porto, Portugal., Farahi F; WiseWorld.AI, Porto, Portugal., Schmidt EM; Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt/M, Germany.; Max Planck School of Cognition, Leipzig, Germany.; Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany., Bahmanian N; Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt/M, Germany.; Department of Modern Languages, Goethe University, Frankfurt/M, Germany., Roig G; Computer Science Department, Goethe University, Frankfurt/M, Germany.; The Hessian Center for Artificial Intelligence (hessian.AI), Darmstadt, Germany. |
| Source: | Behavior research methods [Behav Res Methods] 2024 Oct; Vol. 56 (7), pp. 7498-7542. Date of Electronic Publication: 2024 Jun 25. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1554-3528 (Electronic) Linking ISSN: 1554351X NLM ISO Abbreviation: Behav Res Methods Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1554-3528 |
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| DOI: | 10.3758/s13428-024-02433-0 |
