A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units

The application of artificial intelligence techniques to wearable sensor data may facilitate accurate analysis outside of controlled laboratory settings—the holy grail for gait clinicians and sports scientists looking to bridge the lab to field divide. Using these techniques, parameters that are dif...

Descripción completa

Detalles Bibliográficos
Autores principales: Mundt, Marion, Johnson, William R., Potthast, Wolfgang, Markert, Bernd, Mian, Ajmal, Alderson, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271391/
https://www.ncbi.nlm.nih.gov/pubmed/34283080
http://dx.doi.org/10.3390/s21134535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271391/
https://www.ncbi.nlm.nih.gov/pubmed/34283080
http://dx.doi.org/10.3390/s21134535

Ejemplares similares