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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Veröffentlicht in:J Healthc Eng
Hauptverfasser: Badawi, Abeer A., Al-Kabbany, Ahmad, Shaban, Heba A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Hindawi 2020
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7298253/
https://ncbi.nlm.nih.gov/pubmed/32587667
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/7914649
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