Proceedings of the 2021 5th International Seminar on Education, Management and Social Sciences (ISEMSS 2021)

Classification and Recognition of Operators’ Mental Load Under Repetitive High-precision Tasks Based on BP Neural Network

Authors
Wenmin Han, Huimin Qiang, Peiyao Li
Corresponding Author
Wenmin Han
Available Online 9 August 2021.
DOI
10.2991/assehr.k.210806.067How to use a DOI?
Keywords
Repetitive high-precision tasks, mental load, Oxyhaemoglobin (O2Hb), BP neural network
Abstract

In order to identify the mental load of operators under repetitive high-precision tasks effectively, 36 subjects were recruited in this study. The fine tasks on the electronic assembly line were simulated in the laboratory, and operators’ behavioural performance (completion time, error rate) and the changes of Oxyhaemoglobin (O2Hb) in prefrontal channels 2, 8, 12, 17, 20 and 21 of the brain were characteristic factors for mental load recognition. A model of recognition of mental load state of operators based on BP neural network was constructed and the fatigue state of operators was divided into four levels. Finally, the recognition rate of the mental load state of operators was 86.81% by combining the experimental data. The combination of behavioural performance indicators and physiological measurement indicators can effectively identify mental work state of operators, which provides a new idea for classification and recognition of mental load state of operators under repetitive high-precision operation tasks, and provides a reference for the establishment of effective labour organization.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2021 5th International Seminar on Education, Management and Social Sciences (ISEMSS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
9 August 2021
ISBN
978-94-6239-414-8
ISSN
2352-5398
DOI
10.2991/assehr.k.210806.067How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wenmin Han
AU  - Huimin Qiang
AU  - Peiyao Li
PY  - 2021
DA  - 2021/08/09
TI  - Classification and Recognition of Operators’ Mental Load Under Repetitive High-precision Tasks Based on BP Neural Network
BT  - Proceedings of the 2021 5th International Seminar on Education, Management and Social Sciences (ISEMSS 2021)
PB  - Atlantis Press
SP  - 357
EP  - 361
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210806.067
DO  - 10.2991/assehr.k.210806.067
ID  - Han2021
ER  -