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Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis
OBJECTIVES: Human motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure. To analyze human motion with micro-Doppler signatures measured by radar, a deep learning algorithm is one of the most effecti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Society of Medical Informatics
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859266/ https://www.ncbi.nlm.nih.gov/pubmed/31777679 http://dx.doi.org/10.4258/hir.2019.25.4.344 |