loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

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

Affiliation: Slovak University of Technology in Bratislava, Slovak Republic

ISBN: 978-989-8425-88-1

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.228.21.186

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.