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
收藏
页码：201 / 205
页数：5
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