Brain Activity-Based Metrics for Assessing Learning States in VR under Stress among Firefighters: An Explorative Machine Learning Approach in Neuroergonomics.


Journal article


Maher Abujelala, Rohith Karthikeyan, Oshin Tyagi, Jing Du, Ranjana K. Mehta
Brain Sciences, vol. 11(7), 2021 May 29

Cite

Cite

APA   Click to copy
Abujelala, M., Karthikeyan, R., Tyagi, O., Du, J., & Mehta, R. K. (2021). Brain Activity-Based Metrics for Assessing Learning States in VR under Stress among Firefighters: An Explorative Machine Learning Approach in Neuroergonomics. Brain Sciences, 11(7).


Chicago/Turabian   Click to copy
Abujelala, Maher, Rohith Karthikeyan, Oshin Tyagi, Jing Du, and Ranjana K. Mehta. “Brain Activity-Based Metrics for Assessing Learning States in VR under Stress among Firefighters: An Explorative Machine Learning Approach in Neuroergonomics.” Brain Sciences 11, no. 7 (May 29, 2021).


MLA   Click to copy
Abujelala, Maher, et al. “Brain Activity-Based Metrics for Assessing Learning States in VR under Stress among Firefighters: An Explorative Machine Learning Approach in Neuroergonomics.” Brain Sciences, vol. 11, no. 7, May 2021.


BibTeX   Click to copy

@article{maher2021a,
  title = {Brain Activity-Based Metrics for Assessing Learning States in VR under Stress among Firefighters: An Explorative Machine Learning Approach in Neuroergonomics.},
  year = {2021},
  month = may,
  day = {29},
  issue = {7},
  journal = {Brain Sciences},
  volume = {11},
  author = {Abujelala, Maher and Karthikeyan, Rohith and Tyagi, Oshin and Du, Jing and Mehta, Ranjana K.},
  month_numeric = {5}
}


Share



Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in