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.
An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World Situations [link]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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