EXTRACTING PERSONAL USER CONTEXT WITH A THREE-AXIS SENSOR MOUNTED ON A FREELY CARRIED CELL PHONE
Toshiki Iso, Kenichi Yamazaki
2006
Abstract
To realize ubiquitous services such as presence services and health care services, we propose an algorithm to extract ”personal user context” such as user’s behavior; it processes information gathered by a three-axis accelerometer mounted on a cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail by wavelet packet decomposition. The other is to flexibly cluster personal user context by combining a self-organizing algorithm with Bayesian theory. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify personal user contexts such as walking, running, going up/down stairs, and walking fast with an accuracy of about 88[%].
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Paper Citation
in Harvard Style
Iso T. and Yamazaki K. (2006). EXTRACTING PERSONAL USER CONTEXT WITH A THREE-AXIS SENSOR MOUNTED ON A FREELY CARRIED CELL PHONE . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2006) ISBN 978-972-8865-64-1, pages 224-231. DOI: 10.5220/0001568902240231
in Bibtex Style
@conference{sigmap06,
author={Toshiki Iso and Kenichi Yamazaki},
title={EXTRACTING PERSONAL USER CONTEXT WITH A THREE-AXIS SENSOR MOUNTED ON A FREELY CARRIED CELL PHONE},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2006)},
year={2006},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001568902240231},
isbn={978-972-8865-64-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2006)
TI - EXTRACTING PERSONAL USER CONTEXT WITH A THREE-AXIS SENSOR MOUNTED ON A FREELY CARRIED CELL PHONE
SN - 978-972-8865-64-1
AU - Iso T.
AU - Yamazaki K.
PY - 2006
SP - 224
EP - 231
DO - 10.5220/0001568902240231