DETECTION OF TOOTHBRUSHING ACTIVITY USING FREE-LIVING ACCELERATION DATA

Rüdiger Zillmer

2010

Abstract

The present paper discusses the characterisation of toothbrushing activity, using acceleration data collected for 50 subjects in free-living conditions. The data logging is triggered by super-threshold values of acceleration, which can give rise to false activations by non-brushing activities. Due to large intra and inter individual variations, it is not possible to obtain an exhaustive training-set of all activities that trigger the logging. Thus, a structural analysis of appropriate data features is performed, which reveals a clustering of the data. The comparison with brushing activity traces from laboratory experiments allows the identification of toothbrushing activity, while the remainder corresponds to various false activation events like electronic noise or brush handling. The distribution of the resulting toothbrushing activity shows distinct peaks for morning and night brushing activity.

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Paper Citation


in Harvard Style

Zillmer R. (2010). DETECTION OF TOOTHBRUSHING ACTIVITY USING FREE-LIVING ACCELERATION DATA . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 377-380. DOI: 10.5220/0002592403770380

in Bibtex Style

@conference{biosignals10,
author={Rüdiger Zillmer},
title={DETECTION OF TOOTHBRUSHING ACTIVITY USING FREE-LIVING ACCELERATION DATA},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={377-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002592403770380},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - DETECTION OF TOOTHBRUSHING ACTIVITY USING FREE-LIVING ACCELERATION DATA
SN - 978-989-674-018-4
AU - Zillmer R.
PY - 2010
SP - 377
EP - 380
DO - 10.5220/0002592403770380