Real -Time Electroencephalography (EEG)-Based Detection of Cognitive Fatigue in Human–Machine Interaction Systems: A Biomedical Engineering Approach

Olarewaju Peter Ayeoribe, Atinuola Elizabeth Ayeoribe

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DOI
10.2139/ssrn.5738204
Published
2025
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Not recorded
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.2139/ssrn.5738204,
  title = {Real -Time Electroencephalography (EEG)-Based Detection of Cognitive Fatigue in Human–Machine Interaction Systems: A Biomedical Engineering Approach},
  author = {Olarewaju Peter Ayeoribe and Atinuola Elizabeth Ayeoribe},
  year = {2025},
  doi = {10.2139/ssrn.5738204},
  url = {https://doi.org/10.2139/ssrn.5738204}
}

RIS

TY  - JOUR
TI  - Real -Time Electroencephalography (EEG)-Based Detection of Cognitive Fatigue in Human–Machine Interaction Systems: A Biomedical Engineering Approach
AU  - Olarewaju Peter Ayeoribe
AU  - Atinuola Elizabeth Ayeoribe
PY  - 2025
DO  - 10.2139/ssrn.5738204
UR  - https://doi.org/10.2139/ssrn.5738204
ER  - 

APA

Ayeoribe, O. P., & Ayeoribe, A. E. (2025). Real -Time Electroencephalography (EEG)-Based Detection of Cognitive Fatigue in Human–Machine Interaction Systems: A Biomedical Engineering Approach. https://doi.org/10.2139/ssrn.5738204

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