Sensor Type, Axis, and Position-Based Fusion and Feature Selection for Multimodal Human Daily Activity Recognition in Wearable Body Sensor Networks

This research addresses the challenge of recognizing human daily activities using surface electromyography (sEMG) and wearable inertial sensors. Effective and efficient recognition in this context has emerged as a cornerstone in robust remote health monitoring systems, among other applications. We p...

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Detalles Bibliográficos
Autores principales: Badawi, Abeer A., Al-Kabbany, Ahmad, Shaban, Heba A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298253/
https://www.ncbi.nlm.nih.gov/pubmed/32587667
http://dx.doi.org/10.1155/2020/7914649

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298253/
https://www.ncbi.nlm.nih.gov/pubmed/32587667
http://dx.doi.org/10.1155/2020/7914649

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