Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets
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Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets is a scholarly article[1].
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Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-deep-learning-applied-to-biomechanics-a-new-augmentation-technique-for-motion-capture-datasets
MLA“Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-deep-learning-applied-to-biomechanics-a-new-augmentation-technique-for-motion-capture-datasets.
BibTeX@misc{4ortxyz_generative-deep-learning-applied-to-biomechanics-a-new-augmentation-technique-for-motion-capture-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets}}, year = {2026}, url = {https://4ort.xyz/entity/generative-deep-learning-applied-to-biomechanics-a-new-augmentation-technique-for-motion-capture-datasets}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets — https://4ort.xyz/entity/generative-deep-learning-applied-to-biomechanics-a-new-augmentation-technique-for-motion-capture-datasets (retrieved 2026-05-24)
