research-article

Meditation Detection Using Sensors from Wearable Devices

Authors:

Constantino Álvarez Casado,

Petteri Paananen,

Pekka Siirtola,

Susanna Pirttikangas,

Miguel Bordallo LópezAuthors Info & Claims

UbiComp/ISWC '21 Adjunct: 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

Pages 112 - 116

https://doi.org/10.1145/3460418.3479318

Published: 24 September 2021 Publication History

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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Cited By

Nguyen NNguyen LLi HBordallo López MÁlvarez Casado C(2024)Evaluation of video-based rPPG in challenging environments: Artifact mitigation and network resilienceComputers in Biology and Medicine10.1016/j.compbiomed.2024.108873179(108873)Online publication date: Sep-2024
https://doi.org/10.1016/j.compbiomed.2024.108873
Shang BDuan FFu RGao JSik HMeng XChang C(2023)EEG-based investigation of effects of mindfulness meditation training on state and trait by deep learning and traditional machine learningFrontiers in Human Neuroscience10.3389/fnhum.2023.103342017Online publication date: 31-Aug-2023
https://doi.org/10.3389/fnhum.2023.1033420
Laporte MGjoreski MLangheinrich M(2023)LAUREATEProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108927:3(1-41)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610892
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cover image ACM Conferences

UbiComp/ISWC '21 Adjunct: 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

September 2021

711 pages

ISBN:9781450384612

DOI:10.1145/3460418

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 September 2021

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UbiComp '21

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UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 21 - 26, 2021

Virtual, USA

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Nguyen NNguyen LLi HBordallo López MÁlvarez Casado C(2024)Evaluation of video-based rPPG in challenging environments: Artifact mitigation and network resilienceComputers in Biology and Medicine10.1016/j.compbiomed.2024.108873179(108873)Online publication date: Sep-2024
https://doi.org/10.1016/j.compbiomed.2024.108873
Shang BDuan FFu RGao JSik HMeng XChang C(2023)EEG-based investigation of effects of mindfulness meditation training on state and trait by deep learning and traditional machine learningFrontiers in Human Neuroscience10.3389/fnhum.2023.103342017Online publication date: 31-Aug-2023
https://doi.org/10.3389/fnhum.2023.1033420
Laporte MGjoreski MLangheinrich M(2023)LAUREATEProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108927:3(1-41)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610892
Tervonen JNath RPettersson KNärväinen JMäntyjärvi J(2023)Cold-Start Model Adaptation: Evaluation of Short Baseline CalibrationAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610731(417-422)Online publication date: 8-Oct-2023
https://dl.acm.org/doi/10.1145/3594739.3610731
Casado CCañellas MLópez M(2023)Depression Recognition Using Remote Photoplethysmography From Facial VideosIEEE Transactions on Affective Computing10.1109/TAFFC.2023.323864114:4(3305-3316)Online publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1109/TAFFC.2023.3238641
Casado CLópez M(2023)Face2PPG: An Unsupervised Pipeline for Blood Volume Pulse Extraction From FacesIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2023.330794227:11(5530-5541)Online publication date: Nov-2023
https://doi.org/10.1109/JBHI.2023.3307942

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