IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks

This paper focuses on the classification of seven locomotion modes (sitting, standing, level ground walking, ramp ascent and descent, stair ascent and descent), the transitions among these modes, and the gait phases within each mode, by only using data in the frequency domain from one or two inertia...

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Detalles Bibliográficos
Autores principales: Marcos Mazon, Daniel, Groefsema, Marc, Schomaker, Lambert R. B., Carloni, Raffaella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698430/
https://www.ncbi.nlm.nih.gov/pubmed/36433469
http://dx.doi.org/10.3390/s22228871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698430/
https://www.ncbi.nlm.nih.gov/pubmed/36433469
http://dx.doi.org/10.3390/s22228871

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