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MPTrain: a mobile, music and physiology-based personal trainer
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Source ACM International Conference Proceeding Series; Vol. 159 archive
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services table of contents
Helsinki, Finland
SESSION: Everyday life: mobile wellness and mobility in work table of contents
Pages: 21 - 28  
Year of Publication: 2006
ISBN:1-59593-390-5
Authors
Nuria Oliver  Microsoft Research, Redmond, WA
Fernando Flores-Mangas  Microsoft Research, Redmond, WA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. Anshel and D. Marisi. Effects of music and rhythm on physical performance. Research Quaterly, 49:109--112, 1979.
 
2
N. Becker, S. Brett, C. Chambliss, K. Crowers, P. Haring, C. Marsh, and R. Montemayor. Mellow and frenetic antecedent music during athletic performance of children, adults, and seniors. Percept. Motor Skills, 79(2):pp. 1043--1046, 1994.
 
3
A. Beckett. The effects of music on exercise as determined by physiological recovery heart rate and distance. J. of Music Therapy, 27:126--136, 1990.
 
4
 
5
 
6
 
7
L. Kravitz. The effects of music on exercise? IDEA Today, 12(9):pp. 56--61, 1994.
 
8
W. Lee. The effect of music on walking performance of older adults. Master's thesis, Ball State University, 2001.
 
9
E. Melanson, J. Knoll, M. Bell, W. Donahoo, J. Hill, L. Nysse, L. Lanningham-Foster, J. Peters, and J. Levine. Commercially available pedometers: considerations for accurate step counting. Preventive Medicine, 39(2):361--68, 2004.
 
10
I. Pitas and A. Venetsanopoulos. Nonlinear Digital Filters: Principles and Applications. Kluwer Academic, 1990.
 
11
Polar. Polar watches. http://www.polarusa.com.
 
12
J. Potteiger, J. Schroeder, and K. Goff. Influence of music on ratings of perceived exertion during 20 minutes of moderate intensity exercise. Perceptual Motor Skills, 91:848--854, 2000.
 
13
T. Pujol and A. Langenfeld. Influences of music on wingate anaerobic test performance. Perceptual Motor Skills, 88(1):292--296, 1999.
 
14
I. running iTunes playlist. http://www.lifehacker.com/software/running/interval-running-itunes-playlist-154491.php, 2006.
 
15
M. Staum. Music and rhythmic stimuli in the rehabilitation of gait disorders. Journal of Music Therapy, 20:69--87, 1983.
 
16
Suunto. T6, foot pod, n6hr. http://www.suunto.com.

CITED BY  13

Collaborative Colleagues:
Nuria Oliver: colleagues
Fernando Flores-Mangas: colleagues