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Authors: Michal Tomlein ; Pavol Bielik ; Peter Krátky ; Štefan Mitrík ; Michal Barla and Mária Bieliková

Affiliation: Slovak University of Technology in Bratislava, Slovak Republic

Keyword(s): Advanced pedometer, Activity tracking, Cheating detection, Neural networks.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Distributed and Mobile Software Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Pattern Recognition and Machine Learning ; Pervasive Health Systems and Services ; Software Engineering

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.

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Paper citation in several formats:
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 (BIOSTEC 2012) - HEALTHINF; ISBN 978-989-8425-88-1; ISSN 2184-4305, SciTePress, pages 401-404. DOI: 10.5220/0003786704010404

@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 (BIOSTEC 2012) - HEALTHINF},
year={2012},
pages={401-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003786704010404},
isbn={978-989-8425-88-1},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF
TI - ADVANCED PEDOMETER FOR SMARTPHONE-BASED ACTIVITY TRACKING
SN - 978-989-8425-88-1
IS - 2184-4305
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
PB - SciTePress