University of Oulu

Constantino Álvarez Casado, Petteri Paananen, Pekka Siirtola, Susanna Pirttikangas, and Miguel Bordallo López. 2021. Meditation Detection Using Sensors from Wearable Devices. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp '21). Association for Computing Machinery, New York, NY, USA, 112–116. DOI:https://doi.org/10.1145/3460418.3479318

Meditation detection using sensors from wearable devices

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Author: Casado, Constantino Álvarez1; Paananen, Petteri2; Siirtola, Pekka1;
Organizations: 1University of Oulu Oulu, Finland
2Aureolis Oy Oulu, Finland
3VTT Technical Research Centre Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021100850402
Language: English
Published: Association for Computing Machinery, 2021
Publish Date: 2021-10-08
Description:

Abstract

Meditation is a practice that aims at self-inducing a state of calmed rest. In this work, we analyze physiological signals collected with wearable sensors to observe if meditation has a noticeable effect on the human body response and if this effect is inversely related to stress and can be detected using the same biosignals and similar features and methods. Our work is based on the extraction of statistical and physiological features and extends the models found in the literature by extracting 30 additional features related to heart rate variability. The results show that using wrist wearable devices, meditation periods can be distinguished from spontaneous rest with an accuracy of up to 86% accuracy.

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ISBN Print: 978-1-4503-8461-2
Pages: 112 - 116
DOI: 10.1145/3460418.3479318
OADOI: https://oadoi.org/10.1145/3460418.3479318
Host publication: UbiComp '21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
Conference: ACM International Joint Conference on Pervasive and Ubiquitous Computing
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © 2021 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in UbiComp '21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, https://doi.org/10.1145/3460418.3479318.