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MeditAid: a wearable adaptive neurofeedback-based system for training mindfulness state

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MeditAid: a wearable adaptive neurofeedback-based system for training mindfulness state. / Sas, Corina; Chopra, Rohit.
In: Personal and Ubiquitous Computing, Vol. 19, No. 7, 10.2015, p. 1169-1182.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Sas C, Chopra R. MeditAid: a wearable adaptive neurofeedback-based system for training mindfulness state. Personal and Ubiquitous Computing. 2015 Oct;19(7):1169-1182. Epub 2015 Sept 4. doi: 10.1007/s00779-015-0870-z

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Sas, Corina ; Chopra, Rohit. / MeditAid : a wearable adaptive neurofeedback-based system for training mindfulness state. In: Personal and Ubiquitous Computing. 2015 ; Vol. 19, No. 7. pp. 1169-1182.

Bibtex

@article{8ffc8817e9a54507b4488eb3b4b4a05f,
title = "MeditAid: a wearable adaptive neurofeedback-based system for training mindfulness state",
abstract = "A recent interest in interaction design is towards the development of novel technologies emphasizing the value of mindfulness, monitoring, awareness, and self-regulation for both health and wellbeing. Whereas existing systems have focused mostly on relaxation and awareness of feelings, there has been little exploration on tools supporting the self-regulation of attention during mindfulness sitting meditation. This paper describes the design and initial evaluation of MeditAid, a wearable system integrating electroencephalography (EEG) technology with an adaptive aural entrainment for real time training of mindfulness state. The system identifies different meditative states and provides feedback to support users in deepening their meditation. We report on a study with 16 meditators about the perceived strengths and limitations of the MeditAid system. We demonstrate the benefits of binaural feedback in deepening meditative states, particularly for novice meditators. ",
keywords = "Mindfulness meditation, Mindfulness training, Neurofeedback, Wearable EEG, Aural entrainment",
author = "Corina Sas and Rohit Chopra",
note = " Evidence on publisher pdf The final publication is available at Springer via http://dx.doi.org/10.1007/s00779-015-0870-z",
year = "2015",
month = oct,
doi = "10.1007/s00779-015-0870-z",
language = "English",
volume = "19",
pages = "1169--1182",
journal = "Personal and Ubiquitous Computing",
issn = "1617-4909",
publisher = "Springer Verlag London Ltd",
number = "7",

}

RIS

TY - JOUR

T1 - MeditAid

T2 - a wearable adaptive neurofeedback-based system for training mindfulness state

AU - Sas, Corina

AU - Chopra, Rohit

N1 - Evidence on publisher pdf The final publication is available at Springer via http://dx.doi.org/10.1007/s00779-015-0870-z

PY - 2015/10

Y1 - 2015/10

N2 - A recent interest in interaction design is towards the development of novel technologies emphasizing the value of mindfulness, monitoring, awareness, and self-regulation for both health and wellbeing. Whereas existing systems have focused mostly on relaxation and awareness of feelings, there has been little exploration on tools supporting the self-regulation of attention during mindfulness sitting meditation. This paper describes the design and initial evaluation of MeditAid, a wearable system integrating electroencephalography (EEG) technology with an adaptive aural entrainment for real time training of mindfulness state. The system identifies different meditative states and provides feedback to support users in deepening their meditation. We report on a study with 16 meditators about the perceived strengths and limitations of the MeditAid system. We demonstrate the benefits of binaural feedback in deepening meditative states, particularly for novice meditators.

AB - A recent interest in interaction design is towards the development of novel technologies emphasizing the value of mindfulness, monitoring, awareness, and self-regulation for both health and wellbeing. Whereas existing systems have focused mostly on relaxation and awareness of feelings, there has been little exploration on tools supporting the self-regulation of attention during mindfulness sitting meditation. This paper describes the design and initial evaluation of MeditAid, a wearable system integrating electroencephalography (EEG) technology with an adaptive aural entrainment for real time training of mindfulness state. The system identifies different meditative states and provides feedback to support users in deepening their meditation. We report on a study with 16 meditators about the perceived strengths and limitations of the MeditAid system. We demonstrate the benefits of binaural feedback in deepening meditative states, particularly for novice meditators.

KW - Mindfulness meditation

KW - Mindfulness training

KW - Neurofeedback

KW - Wearable EEG

KW - Aural entrainment

U2 - 10.1007/s00779-015-0870-z

DO - 10.1007/s00779-015-0870-z

M3 - Journal article

VL - 19

SP - 1169

EP - 1182

JO - Personal and Ubiquitous Computing

JF - Personal and Ubiquitous Computing

SN - 1617-4909

IS - 7

ER -