Selecting Feature Sets and Comparing Classification Methods for Cognitive State Estimation

Kati Pettersson, Jaakko Tervonen, Johanna Narvainen, Pentti Henttonen, Ilmari Maattanen, Jani Mantyjarvi

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Original languageEnglish
Title of host publication2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
Number of pages8
Publication date2020
ISBN (Print)978-1-7281-9575-9
ISBN (Electronic)978-1-7281-9574-2
Publication statusPublished - 2020
MoE publication typeA4 Article in conference proceedings
EventIEEE International Conference on Bioinformatics and Bioengineering - Virtual, Cincinnati, United States
Duration: 26 Oct 202028 Oct 2020
Conference number: 20

Publication series

NameProceedings-- IEEE International Symposium on Bioinformatics and Bioengineering (Online)
ISSN (Electronic)2471-7819

Fields of Science

  • classification
  • cognitive state
  • electro-oculogram
  • electrocardiogram
  • feature selection
  • machine learning
  • Bioinformatics
  • Biomedical signal processing
  • Electrocardiography
  • Feature extraction
  • Human computer interaction
  • Physiology
  • Safety engineering
  • State estimation
  • Support vector machines
  • Classification methods
  • Electrocardiogram signal
  • Feature combination
  • Human-computer interaction system
  • Physiological stress
  • Real-time estimation
  • State-of-the-art performance
  • Support vector machine classifiers
  • Classification (of information)
  • 113 Computer and information sciences

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