Anomaly Stop Detection by Smartphone

DOI

10.2991/jrnal.2014.1.1.1How to use a DOI?

Keywords

Smartphone, Geographic Information System, Safety Map, Social Network Service, Anomaly Detection

Abstract

This paper proposes a method for detecting anomaly stop events from GPS logs of a vehicle recorded by smartphone. Despite of many researches of strong braking event detection are proposed, they cannot discriminate between a normal and an abnormal braking event. Our proposal includes an IMAC model for GPS based map generation and an algorithm for anomaly stops detection based on the acquired map. The real world experiment shows our map generation method and its anomaly stop detection rule works well.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Viet Chau Dang
AU  - Masao Kubo
AU  - Hiroshi Sato
AU  - Tomohiro Shirakawa
AU  - Akira Namatame
PY  - 2014
DA  - 2014/06/30
TI  - Anomaly Stop Detection by Smartphone
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 2
EP  - 6
VL  - 1
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2014.1.1.1
DO  - 10.2991/jrnal.2014.1.1.1
ID  - Dang2014
ER  -