Meditation Detection Using Sensors from Wearable Devices

Constantino Álvarez Casado, Petteri Paananen, Pekka Siirtola, Susanna Pirttikangas, Miguel Bordallo López

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2021 - 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
PublisherAssociation for Computing Machinery ACM
Pages112-116
Number of pages5
ISBN (Electronic)978-1-4503-8461-2
DOIs
Publication statusPublished - 21 Sep 2021
MoE publication typeA4 Article in a conference publication
Event2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021 - Virtual, Online, United States
Duration: 21 Sep 202125 Sep 2021

Conference

Conference2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period21/09/2125/09/21

Keywords

  • Biosignals
  • datasets
  • meditation detection
  • wearable sensors

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