Machine Learning for Detection and Risk Assessment of Lifting Action-Reference-Cited by-同舟云学术

Machine Learning for Detection and Risk Assessment of Lifting Action

Published:2022-12 Issue:6 Volume:52 Page:1196-1204
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Thomas Brennan¹^ORCID,Lu Ming-Lun²^ORCID,Jha Rashmi¹^ORCID,Bertrand Joseph¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, USA

2. National Institute of Occupational Safety and Health, Cincinnati, OH, USA

Funder

National Institute for Occupational Safety and Health

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

https://ieeexplore.ieee.org/ielam/6221037/9950430/9925671-aam.pdf

Reference36 articles.

1. Handling imbalanced datasets: A review;kotsiantis;GESTS Int Trans Comput Sci Eng,2005

2. A balanced approach to the multi-class imbalance problem

3. Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

4. Label-preserving data augmentation for mobile sensor data;kim;Multidimensional Syst Signal Process,2020

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