Work in Progress

Heart Waves: A Heart Rate Feedback System Using Water Sounds

Authors:

Omid Ettehadi,

Lee Jones,

Kate HartmanAuthors Info & Claims

TEI '20: Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction

Pages 527 - 532

https://doi.org/10.1145/3374920.3374982

Published: 09 February 2020 Publication History

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Abstract

Wearable devices of today help people track and monitor their biometric data such as heart rate. While the tracked data can help inform people of their health, many find that it adds unnecessary anxieties in the way the feedback is provided. In the case of college students, they spend most of their time in a stressful environment, leading them to an increase in the risk of mental health issues. To help with this issue, we present Heart Waves, an experimental ambient feedback system that tracks heart rate and uses water sound to provide feedback in a stressful work environment. Heart Waves uses the sound of falling water to create a relaxing atmosphere to help ease any stress they are going through. As the user's heart rate goes up, the flow of water increases, and as their heart rate goes down, the flow rate of water decreases. The purpose of this project is to automatize the processing of heart rate data so that the user does not have to analyze the data and create an ambient feedback system that adjusts to their heart rate.

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Jones LGrip GNabil S(2023)Wear Your Heart on Your Sleeve: Using Digital Knitting Machines to Craft Wearable Biodata PortraitsProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596007(547-563)Online publication date: 10-Jul-2023
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Montoya MJi YPell SMueller F(2023)Demonstrating Fluito: A playful floatation tank experienceExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3583908(1-4)Online publication date: 19-Apr-2023
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Index Terms

Heart Waves: A Heart Rate Feedback System Using Water Sounds
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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Information & Contributors

Information

Published In

TEI '20: Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction

February 2020

978 pages

ISBN:9781450361071

DOI:10.1145/3374920

General Chairs:
Elise van den Hoven
University of Technology Sydney (Australia) & Eindhoven University of Technology (the Netherlands)
,
Lian Loke
University of Sydney (Australia)
,
Program Chairs:
Orit Shaer
Wellesley College (USA)
,
Jelle van Dijk
University of Twente (Netherlands)
,
Andrew Kun
University of New Hampshire (USA)

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 February 2020

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Work in progress

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TEI '20

Sponsor:

SIGCHI

TEI '20: Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction

February 9 - 12, 2020

Sydney NSW, Australia

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TEI '20 Paper Acceptance Rate 37 of 132 submissions, 28%;

Overall Acceptance Rate 393 of 1,367 submissions, 29%

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TEI '25

Sponsor:
sigchi

Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction

March 4 - 7, 2025

Bordeaux / Talence , France

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Cited By

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https://dl.acm.org/doi/10.1145/3611056
Jones LGrip GNabil S(2023)Wear Your Heart on Your Sleeve: Using Digital Knitting Machines to Craft Wearable Biodata PortraitsProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596007(547-563)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3596007
Montoya MJi YPell SMueller F(2023)Demonstrating Fluito: A playful floatation tank experienceExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3583908(1-4)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3583908
Vyas PDesai UYamakawa KMaclean K(2023)A Descriptive Analysis of a Formative Decade of Research in Affective Haptic System DesignProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580735(1-23)Online publication date: 19-Apr-2023
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Liu ZYao CWang QYing F(2023)A Study on the Emotional Responses to Visual ArtEntertainment Computing – ICEC 202310.1007/978-981-99-8248-6_43(450-460)Online publication date: 15-Nov-2023
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Johansen Svan Berkel NFritsch J(2022)Characterising Soundscape Research in Human-Computer InteractionProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533458(1394-1417)Online publication date: 13-Jun-2022
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Rojas CZuccarelli EChin APatekar GEsquivel DMaes P(2022)Towards Enhancing Empathy Through Emotion Augmented Remote CommunicationExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519797(1-9)Online publication date: 27-Apr-2022
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Khot RYi JAggarwal D(2022)Designing for Microbreaks: Unpacking the Design Journey of ZenscapeProceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3490149.3502256(1-16)Online publication date: 13-Feb-2022
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Idrobo-Ávila ELoaiza-Correa HMuñoz-Bolaños Fvan Noorden LVargas-Cañas R(2022)Development of a biofeedback system using harmonic musical intervals to control heart rate variability with a generative adversarial networkBiomedical Signal Processing and Control10.1016/j.bspc.2021.10309571(103095)Online publication date: Jan-2022
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Delle Monache SMISDARIIS NOzcan ESas CMaiden N(2021)Conceptualising sound-driven design: an exploratory discourse analysisProceedings of the 13th Conference on Creativity and Cognition10.1145/3450741.3465258(1-8)Online publication date: 22-Jun-2021
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Impaired coronary blood flow at higher heart rates during atrial fibrillation: Investigation via multiscale modelling

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