An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World Situations. Mamolar, A. S., Arevalillo-Herráez, M., Chicote-Huete, G., & Boticario, J. Sensors, 21(5):1777, 2021.
Paper doi bibtex @article{DBLP:journals/sensors/MamolarACB21,
author = {Ana Serrano Mamolar and
Miguel Arevalillo{-}Herr{\'{a}}ez and
Guillermo Chicote{-}Huete and
Jesus Boticario},
title = {An Intra-Subject Approach Based on the Application of {HMM} to Predict
Concentration in Educational Contexts from Nonintrusive Physiological
Signals in Real-World Situations},
journal = {Sensors},
volume = {21},
number = {5},
pages = {1777},
year = {2021},
url = {https://doi.org/10.3390/s21051777},
doi = {10.3390/s21051777},
timestamp = {Thu, 29 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/sensors/MamolarACB21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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