Assessing the Applicability of Machine Learning Models for Robotic Emotion Monitoring: A Survey

Md Ayshik Rahman Khan, Marat Rostov, Jessica Sharmin Rahman, Khandaker Asif Ahmed, Md Zakir Hossain

Open source

DOI: 10.3390/app13010387
Published: 12
Container: Applied Sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/app13010387,
  title = {Assessing the Applicability of Machine Learning Models for Robotic Emotion Monitoring: A Survey},
  author = {Md Ayshik Rahman Khan and Marat Rostov and Jessica Sharmin Rahman and Khandaker Asif Ahmed and Md Zakir Hossain},
  year = {2022},
  journal = {Applied Sciences},
  doi = {10.3390/app13010387},
  url = {https://doi.org/10.3390/app13010387}
}

RIS

TY  - JOUR
TI  - Assessing the Applicability of Machine Learning Models for Robotic Emotion Monitoring: A Survey
AU  - Md Ayshik Rahman Khan
AU  - Marat Rostov
AU  - Jessica Sharmin Rahman
AU  - Khandaker Asif Ahmed
AU  - Md Zakir Hossain
PY  - 2022
JO  - Applied Sciences
DO  - 10.3390/app13010387
UR  - https://doi.org/10.3390/app13010387
ER  -

APA

Khan, M. A. R., Rostov, M., Rahman, J. S., Ahmed, K. A., & Hossain, M. Z. (2022). Assessing the Applicability of Machine Learning Models for Robotic Emotion Monitoring: A Survey. Applied Sciences. https://doi.org/10.3390/app13010387

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doaj · retrieved 2026-09-25T10:33:52.874Z