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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Bibliographic Details
Main Authors: Abeer A. Badawi, Ahmad Al-Kabbany, Heba A. Shaban
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2020/7914649