Stress Dichotomy using Heart Rate and Tweet Sentiment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43951148" target="_blank" >RIV/49777513:23520/18:43951148 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Stress Dichotomy using Heart Rate and Tweet Sentiment

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

BIOSTEC 2018 Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies Volume 5: HEALTHINF

ISBN

978-989-758-281-3

ISSN

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e-ISSN

neuvedeno

Number of pages

6

Pages from-to

527-532

Publisher name

SCITEPRESS – Science and Technology Publications

Place of publication

Setúbal

Event location

Madeira, Portugal

Event date

Jan 19, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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