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MPTrain: a mobile, music and physiology-based personal trainer

Authors:

Fernando Flores-MangasAuthors Info & Claims

MobileHCI '06: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services

Pages 21 - 28

https://doi.org/10.1145/1152215.1152221

Published: 12 September 2006 Publication History

Abstract

We present MPTrain, a mobile phone based system that takes advantage of the influence of music in exercise performance, enabling users to more easily achieve their exercise goals. MPTrain is designed as a mobile and personal system (hardware and software) that users wear while exercising (walking, jogging or running). MPTrain's hardware includes a set of physiological sensors wirelessly connected to a mobile phone carried by the user. MPTrain's software allows the user to enter a desired exercise pattern (in terms of desired heart-rate over time) and assists the user in achieving his/her exercising goals by: (1) constantly monitoring the user's physiology (heart-rate in number of beats per minute) and movement (speed in number of steps per minute); and (2) selecting and playing music with specific features that will encourage the user to speed up, slow down or keep the pace to be on track with his/her exercise goals.We describe the hardware and software components of the MPTrain system, and present some preliminary results when using MPTrain while jogging.

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Cited By

van Rheden VHarbour EFinkenzeller TMeschtscherjakov A(2024)Into the Rhythm: Evaluating Breathing Instruction Sound Experiences on the Run with Novice Female RunnersMultimodal Technologies and Interaction10.3390/mti80400258:4(25)Online publication date: 22-Mar-2024
https://doi.org/10.3390/mti8040025
OWAKI KKANDA YKIMURA H(2024)Heart Rate Control System for Walking with Real-Time Heart Rate PredictionIEICE Transactions on Electronics10.1587/transele.2023ESS0002E107.C:11(501-505)Online publication date: 1-Nov-2024
https://doi.org/10.1587/transele.2023ESS0002
Gabbolini GBridge D(2024)Surveying More Than Two Decades of Music Information Retrieval Research on PlaylistsACM Transactions on Intelligent Systems and Technology10.1145/368839815:6(1-68)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3688398
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Index Terms

MPTrain: a mobile, music and physiology-based personal trainer

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cover image ACM Other conferences

MobileHCI '06: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services

September 2006

320 pages

ISBN:1595933905

DOI:10.1145/1152215

General Chairs:
Marko Nieminen
Helsinki University of Technology, Finland
,
Mika Röykkee
Nokia Research Center, Finland

Copyright © 2006 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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Publication History

Published: 12 September 2006

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MobileHCI06

MobileHCI06: Human-Computer Interaction with Mobile Devices and Services

September 12 - 15, 2006

Helsinki, Finland

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Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

van Rheden VHarbour EFinkenzeller TMeschtscherjakov A(2024)Into the Rhythm: Evaluating Breathing Instruction Sound Experiences on the Run with Novice Female RunnersMultimodal Technologies and Interaction10.3390/mti80400258:4(25)Online publication date: 22-Mar-2024
https://doi.org/10.3390/mti8040025
OWAKI KKANDA YKIMURA H(2024)Heart Rate Control System for Walking with Real-Time Heart Rate PredictionIEICE Transactions on Electronics10.1587/transele.2023ESS0002E107.C:11(501-505)Online publication date: 1-Nov-2024
https://doi.org/10.1587/transele.2023ESS0002
Gabbolini GBridge D(2024)Surveying More Than Two Decades of Music Information Retrieval Research on PlaylistsACM Transactions on Intelligent Systems and Technology10.1145/368839815:6(1-68)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3688398
Kashanj SWang XPerin C(2024)Visualizations on Smart Watches while Running: It Actually Helps!2024 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS55277.2024.00016(41-45)Online publication date: 13-Oct-2024
https://doi.org/10.1109/VIS55277.2024.00016
Balasubramaniam AReidsma DHeylen D(2023)Drone-Driven Running: Exploring the Opportunities for Drones to Support Running Well-being through a Review of Running and Drone Interaction TechnologiesProceedings of the 11th International Conference on Human-Agent Interaction10.1145/3623809.3623831(209-220)Online publication date: 4-Dec-2023
https://dl.acm.org/doi/10.1145/3623809.3623831
Schrapel MHappe JRohs M(2022)EnvironZen: Immersive Soundscapes via Augmented Footstep Sounds in Urban Areasi-com10.1515/icom-2022-002021:2(219-237)Online publication date: 19-Jul-2022
https://doi.org/10.1515/icom-2022-0020
Hamada THautasaari AKitazaki MKoshizuka N(2022)Solitary Jogging with A Virtual Runner using Smartglasses2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR51125.2022.00085(644-654)Online publication date: Mar-2022
https://doi.org/10.1109/VR51125.2022.00085
Yakura HNakano TGoto M(2022)An automated system recommending background music to listen to while workingUser Modeling and User-Adapted Interaction10.1007/s11257-022-09325-y32:3(355-388)Online publication date: 18-May-2022
https://doi.org/10.1007/s11257-022-09325-y
Maenaka SSuwa HArakawa YYasumoto K(2021)Heart Rate Prediction for Easy Walking Route PlanningSICE Journal of Control, Measurement, and System Integration10.9746/jcmsi.11.28411:4(284-291)Online publication date: 18-Jan-2021
https://doi.org/10.9746/jcmsi.11.284
Yin BBailey SHu EJayarekera MShaw AWünsche B(2021)Tour de Tune 2 - Auditory-Game-Motor Synchronisation with Music Tempo in an Immersive Virtual Reality ExergameProceedings of the 2021 Australasian Computer Science Week Multiconference10.1145/3437378.3437379(1-10)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1145/3437378.3437379
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