Human activity recognition algorithms for manual material handling activities

Human activity recognition algorithms for manual material handling activities

Abstract Human Activity Recognition (HAR) using wearable sensors has prompted substantial interest in recent years due to the availability and low cost of Inertial Measurement Units (IMUs). HAR using IMUs can aid both the ergonomic evaluation of the performed activities and, more recently, with the...

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Bibliographic Details
Main Authors: Andreas Sochopoulos, Tommaso Poliero, Jamil Ahmad, Darwin G. Caldwell, Christian Di Natali
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Human activity recognition
Feedforward neural networks
Convolutional neural networks
Recurrent neural networks
Industrial wearable technologies
Online Access:https://doi.org/10.1038/s41598-024-81312-2
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https://doi.org/10.1038/s41598-024-81312-2

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