Catching Patient’s Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse

Aneta Lisowska; Szymon Wilk; Mor Peleg

doi:10.1007/978-3-030-77211-6_8

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Chapter

Title

Catching Patient’s Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse

Authors

Aneta Lisowska (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Szymon Wilk (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Mor Peleg

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2021

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

blood volume pulse
stress
classification
wearable
Fogg behavioral model

Date of online publication

08.06.2021

Pages (from - to)

72 - 82

DOI

10.1007/978-3-030-77211-6_8

URL

https://link.springer.com/chapter/10.1007/978-3-030-77211-6_8

Book

Artificial Intelligence in Medicine : 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings

Presented on

19th International Conference on Artificial Intelligence in Medicine AIME 2021, 15-18.06.2021

Points of MNiSW / chapter

20.0

Points of MNiSW / conference (CORE)

70.0

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