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Authors: Jaromir Salamon ; Kateřina Černá and Roman Mouček

Affiliation: Faculty of Applied Sciences and University of West Bohemia, Czech Republic

Keyword(s): Sentiment Extraction, Heart Rate, Time Series, Data Analysis, Stress Dichotomy.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Mining ; Databases and Information Systems Integration ; Devices ; Enterprise Information Systems ; Health Information Systems ; Human-Computer Interaction ; Pattern Recognition and Machine Learning ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Wearable Sensors and Systems

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 recommendatio ns for future research. (More)

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Paper citation in several formats:
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 (BIOSTEC 2018) - HEALTHINF; ISBN 978-989-758-281-3; ISSN 2184-4305, SciTePress, pages 527-532. DOI: 10.5220/0006650105270532

@conference{healthinf18,
author={Jaromir Salamon. and Kate\v{r}ina 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 (BIOSTEC 2018) - HEALTHINF},
year={2018},
pages={527-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006650105270532},
isbn={978-989-758-281-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - HEALTHINF
TI - Stress Dichotomy using Heart Rate and Tweet Sentiment
SN - 978-989-758-281-3
IS - 2184-4305
AU - Salamon, J.
AU - Černá, K.
AU - Mouček, R.
PY - 2018
SP - 527
EP - 532
DO - 10.5220/0006650105270532
PB - SciTePress