Rafiul Amin, Md., Wickramasuriya, Dilranjan S., and Faghih, Rose T. A Wearable Exam Stress Dataset for Predicting Grades using Physiological Signals. Retrieved from https://par.nsf.gov/biblio/10322323. 2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) . Web. doi:10.1109/HI-POCT54491.2022.9744065.
Rafiul Amin, Md., Wickramasuriya, Dilranjan S., & Faghih, Rose T. A Wearable Exam Stress Dataset for Predicting Grades using Physiological Signals. 2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT), (). Retrieved from https://par.nsf.gov/biblio/10322323. https://doi.org/10.1109/HI-POCT54491.2022.9744065
Rafiul Amin, Md., Wickramasuriya, Dilranjan S., and Faghih, Rose T.
"A Wearable Exam Stress Dataset for Predicting Grades using Physiological Signals". 2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) (). Country unknown/Code not available. https://doi.org/10.1109/HI-POCT54491.2022.9744065.https://par.nsf.gov/biblio/10322323.
@article{osti_10322323,
place = {Country unknown/Code not available},
title = {A Wearable Exam Stress Dataset for Predicting Grades using Physiological Signals},
url = {https://par.nsf.gov/biblio/10322323},
DOI = {10.1109/HI-POCT54491.2022.9744065},
abstractNote = {},
journal = {2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)},
author = {Rafiul Amin, Md. and Wickramasuriya, Dilranjan S. and Faghih, Rose T.},
}
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