An Intelligent Human Behavior-Based Reasoning Model for Service Prediction in Smart Home

被引：2

作者：

Yang, Wei ^{[1
]}

Jing, Xiaojun

Huang, Hai

机构：

[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China

来源：

IEEE ACCESS | 2018年 / 6卷

基金：

中国国家自然科学基金;

关键词：

Internet of Things; service prediction; human behavior-based reasoning; intelligent embedded system; HIDDEN MARKOV-MODELS; ENERGY MANAGEMENT; SENSOR NETWORKS;

D O I：

10.1109/ACCESS.2018.2879904

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the rapid development of technologies and improvement of living conditions, people are increasingly concerned about their life safety, convenience, and comfortableness. Household intelligence starts to play an increasingly important role in improving people living environment. This paper focuses on service prediction in smart home automatic control systems, and proposes an intelligent human behavior-based reasoning model on the basis of linear prediction and case-based reasoning. Hardware and software are designed after analysis of the embedded architecture. In addition, an embedded smart home platform is built up and implemented to validate the proposed human behavior-based reasoning algorithm.

引用

页码：68535 / 68544

页数：10

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