Detail publikace

Stress detection on non-EEG physiolog. data

JINDRA, J. NĚMCOVÁ, A.

Originální název

Stress detection on non-EEG physiolog. data

Anglický název

Stress detection on non-EEG physiolog. data

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

čeština

Originální abstrakt

Stress detection based on Non-EEG physiological data can be usefulfor monitoring dri-vers, pilots, workers,and other subjects, where standard EEG monitoring is unsuitable. This work usesNon-EEG database freelyavailable fromPhysionet. The database contains recordsof heart ra-te, saturation of blood oxygen, motion, a conductance of skin and temperature. Model for automatic detection of stress was learned on these data. Best results were reached using a model of a decision tree with25 features. The accuracy of the resulting model is approximately 93 %.

Anglický abstrakt

Stress detection based on Non-EEG physiological data can be usefulfor monitoring dri-vers, pilots, workers,and other subjects, where standard EEG monitoring is unsuitable. This work usesNon-EEG database freelyavailable fromPhysionet. The database contains recordsof heart ra-te, saturation of blood oxygen, motion, a conductance of skin and temperature. Model for automatic detection of stress was learned on these data. Best results were reached using a model of a decision tree with25 features. The accuracy of the resulting model is approximately 93 %.

Klíčová slova

Stress, detection, physiological signals, Non–EEG detection, artificial intelligence,machine learning,decision trees

Klíčová slova v angličtině

Stress, detection, physiological signals, Non–EEG detection, artificial intelligence,machine learning,decision trees

Autoři

JINDRA, J.; NĚMCOVÁ, A.

Vydáno

25. 4. 2019

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5735-5

Kniha

Proceedings of the 25th Conference STUDENT EEICT 2019

Strany od

203

Strany do

206

Strany počet

4

URL

http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf

BibTex

@inproceedings{BUT156802,
  author="Jakub {Jindra} and Andrea {Němcová}",
  title="Stress detection on non-EEG physiolog. data",
  booktitle="Proceedings of the 25th Conference STUDENT EEICT 2019",
  year="2019",
  pages="203--206",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5735-5",
  url="http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2019_sbornik.pdf"
}