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...

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Detalles Bibliográficos
Autores principales: Luo, Yue, Coppola, Sarah M., Dixon, Philippe C., Li, Song, Dennerlein, Jack T., Hu, Boyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
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

Internet

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

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