Stress Dichotomy using Heart Rate and Tweet Sentiment

Jaromir Salamon, Kateřina Černá, Roman Mouček

Abstract

Automated detection of human stress from markers is very beneficial for the development of assistive technologies. Blood pressure, skin temperature, galvanic skin response or heart rate are typical physiological markers that help identify human stress. However, not only the human body itself but also the human mood expressed in short text messages can be a useful source of such information about stress. This paper focuses on detection of human stress using two different but synchronized sources of information, human heart rate and sentiment extracted from tweets. During the preliminary experiment lasting for two fifty-day periods, we obtained simultaneously 481 708 heart rate data samples from two wearables and sentiment from 2049 tweets. The tweet data contain a subjective sentiment evaluation that was recorded using positive and negative hashtags. A few states of stress were identified as the result of the data processing. The final discussion provides conclusions and recommendations for future research.

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Paper Citation


in Harvard Style

Salamon J., Černá K. and Mouček R. (2018). Stress Dichotomy using Heart Rate and Tweet Sentiment.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-281-3, pages 527-532. DOI: 10.5220/0006650105270532


in Bibtex Style

@conference{healthinf18,
author={Jaromir Salamon and Kateřina Černá and Roman Mouček},
title={Stress Dichotomy using Heart Rate and Tweet Sentiment},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2018},
pages={527-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006650105270532},
isbn={978-989-758-281-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Stress Dichotomy using Heart Rate and Tweet Sentiment
SN - 978-989-758-281-3
AU - Salamon J.
AU - Černá K.
AU - Mouček R.
PY - 2018
SP - 527
EP - 532
DO - 10.5220/0006650105270532