PEDESTRIAN IDENTIFICATION BY ASSOCIATING WALKING RHYTHMS FROM WEARABLE ACCELERATION SENSORS AND BIPED TRACKING RESULTS

Tetsushi Ikeda, Hiroshi Ishiguro, Takahiro Miyashita, Norihiro Hagita

Abstract

Providing personal and location-dependent services is one of the promising services in public spaces like a shopping mall. So far, sensors in the environment have reliably detected the current positions of humans, but it is difficult to identify people using these sensors. On the other hand, wearable devices can send their personal identity information, but precise position estimation remains problematic. In this paper, we propose a novel method of integrating laser range finders (LRFs) in the environment and wearable accelerometers. The legs of pedestrians in the environment are tracked by using LRFs, and acceleration signals from pedestrians are simultaneously observed. Since the tracking results of biped feet and the body oscillation of the same pedestrian show same walking rhythm patterns, we associate these signals from same pedestrian that maximizes correlation between them and identify the pedestrian. Example results of tracking individuals in the environment confirm the effectiveness of this method.

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Paper Citation


in Harvard Style

Ikeda T., Ishiguro H., Miyashita T. and Hagita N. (2012). PEDESTRIAN IDENTIFICATION BY ASSOCIATING WALKING RHYTHMS FROM WEARABLE ACCELERATION SENSORS AND BIPED TRACKING RESULTS . In Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-8565-00-6, pages 21-28. DOI: 10.5220/0003826400210028


in Bibtex Style

@conference{peccs12,
author={Tetsushi Ikeda and Hiroshi Ishiguro and Takahiro Miyashita and Norihiro Hagita},
title={PEDESTRIAN IDENTIFICATION BY ASSOCIATING WALKING RHYTHMS FROM WEARABLE ACCELERATION SENSORS AND BIPED TRACKING RESULTS},
booktitle={Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2012},
pages={21-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003826400210028},
isbn={978-989-8565-00-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - PEDESTRIAN IDENTIFICATION BY ASSOCIATING WALKING RHYTHMS FROM WEARABLE ACCELERATION SENSORS AND BIPED TRACKING RESULTS
SN - 978-989-8565-00-6
AU - Ikeda T.
AU - Ishiguro H.
AU - Miyashita T.
AU - Hagita N.
PY - 2012
SP - 21
EP - 28
DO - 10.5220/0003826400210028