Enhancing Wearable Gait Monitoring Systems: Identifying Optimal Kinematic Inputs in Typical Adolescents

Machine learning-based gait systems facilitate the real-time control of gait assistive technologies in neurological conditions. Improving such systems needs the identification of kinematic signals from inertial measurement unit wearables (IMUs) that are robust across different walking conditions wit...

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Detalles Bibliográficos
Autores principales: Kahlon, Amanrai Singh, Verma, Khushboo, Sage, Alexander, Lee, Samuel C. K., Behboodi, Ahad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575151/
https://www.ncbi.nlm.nih.gov/pubmed/37837105
http://dx.doi.org/10.3390/s23198275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575151/
https://www.ncbi.nlm.nih.gov/pubmed/37837105
http://dx.doi.org/10.3390/s23198275

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