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A database of human gait performance on irregular and uneven surfaces collected by wearable sensors
Gait analysis has traditionally relied on laborious and lab-based methods. Data from wearable sensors, such as Inertial Measurement Units (IMU), can be analyzed with machine learning to perform gait analysis in real-world environments. This database provides data from thirty participants (fifteen ma...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343872/ https://www.ncbi.nlm.nih.gov/pubmed/32641740 http://dx.doi.org/10.1038/s41597-020-0563-y |