Meditation Detection Using Sensors from Wearable Devices

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

doi:10.1145/3460418.3479318

Meditation Detection Using Sensors from Wearable Devices

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

BA5610 Human-centric AI

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

7 Citations (Scopus)

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 language	English
Title of host publication	UbiComp/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
Publisher	Association for Computing Machinery ACM
Pages	112-116
Number of pages	5
ISBN (Electronic)	978-1-4503-8461-2
DOIs	https://doi.org/10.1145/3460418.3479318
Publication status	Published - 21 Sept 2021
MoE publication type	A4 Article in a conference publication
Event	2021 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 Sept 2021 → 25 Sept 2021

Conference

Conference	2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021
Country/Territory	United States
City	Virtual, Online
Period	21/09/21 → 25/09/21

Keywords

Biosignals
datasets
meditation detection
wearable sensors

Access to Document

10.1145/3460418.3479318

Cite this

Álvarez Casado, C., Paananen, P., Siirtola, P., Pirttikangas, S., & Bordallo López, M. (2021). Meditation Detection Using Sensors from Wearable Devices. In UbiComp/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 (pp. 112-116). Association for Computing Machinery ACM. https://doi.org/10.1145/3460418.3479318

Álvarez Casado, Constantino ; Paananen, Petteri ; Siirtola, Pekka et al. / Meditation Detection Using Sensors from Wearable Devices. UbiComp/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. Association for Computing Machinery ACM, 2021. pp. 112-116

@inproceedings{ebb9cd9e5e774903a87352cc8da15bdd,

title = "Meditation Detection Using Sensors from Wearable Devices",

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.",

keywords = "Biosignals, datasets, meditation detection, wearable sensors",

author = "{{\'A}lvarez Casado}, Constantino and Petteri Paananen and Pekka Siirtola and Susanna Pirttikangas and {Bordallo L{\'o}pez}, Miguel",

year = "2021",

month = sep,

day = "21",

doi = "10.1145/3460418.3479318",

language = "English",

pages = "112--116",

booktitle = "UbiComp/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",

publisher = "Association for Computing Machinery ACM",

address = "United States",

note = "2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021 ; Conference date: 21-09-2021 Through 25-09-2021",

}

Álvarez Casado, C, Paananen, P, Siirtola, P, Pirttikangas, S & Bordallo López, M 2021, Meditation Detection Using Sensors from Wearable Devices. in UbiComp/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. Association for Computing Machinery ACM, pp. 112-116, 2021 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, 21/09/21. https://doi.org/10.1145/3460418.3479318

Meditation Detection Using Sensors from Wearable Devices. / Álvarez Casado, Constantino; Paananen, Petteri; Siirtola, Pekka et al.
UbiComp/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. Association for Computing Machinery ACM, 2021. p. 112-116.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Meditation Detection Using Sensors from Wearable Devices

AU - Álvarez Casado, Constantino

AU - Paananen, Petteri

AU - Siirtola, Pekka

AU - Pirttikangas, Susanna

AU - Bordallo López, Miguel

PY - 2021/9/21

Y1 - 2021/9/21

N2 - 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.

AB - 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.

KW - Biosignals

KW - datasets

KW - meditation detection

KW - wearable sensors

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M3 - Conference article in proceedings

AN - SCOPUS:85115950304

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BT - UbiComp/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

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T2 - 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021

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Álvarez Casado C, Paananen P, Siirtola P, Pirttikangas S, Bordallo López M. Meditation Detection Using Sensors from Wearable Devices. In UbiComp/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. Association for Computing Machinery ACM. 2021. p. 112-116 doi: 10.1145/3460418.3479318

Meditation Detection Using Sensors from Wearable Devices

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