Forecasting Vital Signs in Human–Robot Collaboration Using Sequence-to-Sequence Models with Bidirectional LSTM: A Comparative Analysis of Uni- and Multi-Variate Approaches
Author:
Affiliation:
1. Cologne Cobots Lab, TH Köln—University of Applied Sciences, Betzdorfer Str. 2, 50679 Köln, Germany
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/58/1/103/pdf
Reference26 articles.
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2. Assessment of operator stress induced by robot collaboration in assembly;Arai;CIRP Ann.,2010
3. Mental stress and safety awareness during human-robot collaboration—Review;Lu;Appl. Ergon.,2022
4. Robot adaptation to human physical fatigue in human–robot co-manipulation;Peternel;Auton. Robot.,2018
5. A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques;Gedam;IEEE Access,2021
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