Behavior network-based risk recognition method

Jeonghoon Kwak, Suhyun Gong, Yunsick Sung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
EditorsJengnan Juang
PublisherSpringer Verlag
Pages201-205
Number of pages5
ISBN (Print)9783319173139
DOIs
StatePublished - 2016
Event3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014 - Kaohsiung, Taiwan, Province of China
Duration: 19 Dec 201421 Dec 2014

Publication series

NameLecture Notes in Electrical Engineering
Volume345
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period19/12/1421/12/14

Keywords

  • Bayesian probability
  • Behavior network
  • Situation classification

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