ADVANCED PEDOMETER FOR SMARTPHONE-BASED ACTIVITY TRACKING

Michal Tomlein, Pavol Bielik, Peter Krátky, Štefan Mitrík, Michal Barla, Mária Bieliková

Abstract

This paper describes the design of an advanced smartphone pedometer developed as part of a larger solution aimed at encouraging a healthier lifestyle through regular physical activity, called Move2Play. Move2Play provides several motivational methods to promote exercise, some of which are based on the use of points derived from tracked activity. While current pedometers are easily tricked into counting steps by shaking the device, our advanced pedometer uses a neural network to detect and prevent this kind of cheating. In this paper, we discuss both the method for counting steps and our innovative approach to the recognition of cheating.

References

  1. Bielik, P., e. a. (2012). Move2play: An innovative approach to encouraging people to be more physically active. 2nd ACM SIGHIT Int. Health Informatics Symposium. Accepted.
  2. Bielik, P. (2011). Personalized training plan recommendation and activity tracking for a healthier lifestyle. Bulletin of the ACM Slovakia, 3(4).
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  4. Iwane, M., e. a. (2000). Walking 10,000 steps/day or more reduces blood pressure and sympathetic nerve activity in mild essential hypertension. Hypertens Res, 23(6):573-580.
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Paper Citation


in Harvard Style

Tomlein M., Bielik P., Krátky P., Mitrík Š., Barla M. and Bieliková M. (2012). ADVANCED PEDOMETER FOR SMARTPHONE-BASED ACTIVITY TRACKING . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012) ISBN 978-989-8425-88-1, pages 401-404. DOI: 10.5220/0003786704010404


in Bibtex Style

@conference{healthinf12,
author={Michal Tomlein and Pavol Bielik and Peter Krátky and Štefan Mitrík and Michal Barla and Mária Bieliková},
title={ADVANCED PEDOMETER FOR SMARTPHONE-BASED ACTIVITY TRACKING},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012)},
year={2012},
pages={401-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003786704010404},
isbn={978-989-8425-88-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012)
TI - ADVANCED PEDOMETER FOR SMARTPHONE-BASED ACTIVITY TRACKING
SN - 978-989-8425-88-1
AU - Tomlein M.
AU - Bielik P.
AU - Krátky P.
AU - Mitrík Š.
AU - Barla M.
AU - Bieliková M.
PY - 2012
SP - 401
EP - 404
DO - 10.5220/0003786704010404