@inproceedings{71980928de194951ae60127a74b85514,
title = "Behavior network-based risk recognition method",
abstract = "This chapter proposes a two-behavior networks-based method to automatically detect whether a situation is risky or not. Behavior network is used to analyze measured values from the sensors of a smart phone. Bayesian probability is also used for implementing such a behavior network. An experiment was conducted to validate that the speed of recognizing risk situations was improved by learning such situations iteratively through behavior networks with Bayesian probability.",
keywords = "Bayesian probability, Behavior network, Situation classification",
author = "Jeonghoon Kwak and Suhyun Gong and Yunsick Sung",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014 ; Conference date: 19-12-2014 Through 21-12-2014",
year = "2016",
doi = "10.1007/978-3-319-17314-6_26",
language = "English",
isbn = "9783319173139",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "201--205",
editor = "Jengnan Juang",
booktitle = "Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014",
address = "Germany",
}