Detection of physical strain and fatigue in industrial environments using visual and non-visual sensors-Reference-Cited by-同舟云学术

Detection of physical strain and fatigue in industrial environments using visual and non-visual sensors

Published:2021-06-29 Issue: Volume: Page:
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Container-title:The 14th PErvasive Technologies Related to Assistive Environments Conference
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Author:

Papoutsakis Konstantinos¹,Papadopoulos Thodoris¹,Maniadakis Michalis¹,Lourakis Manolis¹,Pateraki Maria²,Varlamis Iraklis³

Affiliation:

1. Institute of Computer Science Foundation for Research and Technology - Hellas, Greece

2. Institute of Computer Science Foundation for Research and Technology - Hellas and National Technical University of Athens, Greece

3. Harokopio University of Athens and Institute of Computer Science Foundation for Research and Technology - Hellas, Greece

Funder

H2020 Societal Challenges

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3453892.3461633

Reference10 articles.

1. Daily fatigue-recovery balance monitoring with heart rate variability in well-trained female cyclists on the Tour de France circuit

2. Marco Cuturi and Mathieu Blondel. 2017. Soft-DTW: a Differentiable Loss Function for Time-Series. In ICML. 894–903. Marco Cuturi and Mathieu Blondel. 2017. Soft-DTW: a Differentiable Loss Function for Time-Series. In ICML. 894–903.

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