Behavior Network-Based Risk Recognition Method

被引：2

作者：

Kwak, Jeonghoon ^{[1
]}

Gong, Suhyun ^{[1
]}

Sung, Yunsick ^{[1
]}

机构：

[1] Keimyung Univ, Dept Game Mobile Contents, Daegu, South Korea

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES AND ENGINEERING SYSTEMS (ICITES2014) | 2016年 / 345卷

关键词：

Behavior network; Bayesian probability; Situation classification;

D O I：

10.1007/978-3-319-17314-6_26

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：201 / 205

页数：5

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