Personalization Using Sensors for Preliminary Human Detection in an IoT Environment

被引：11

作者：

Russell, Luke ^{[1
]}

Goubran, Rafik ^{[1
]}

Kwamena, Felix ^{[2
]}

机构：

[1] Carleton Univ, Syst & Comp Engn, Ottawa, ON, Canada

[2] Carleton Univ, Engn & Design, Ottawa, ON, Canada

来源：

2015 International Conference on Distributed Computing in Sensor Systems (DCOSS) | 2015年

关键词：

sensors; internet of things; personalization;

D O I：

10.1109/DCOSS.2015.40

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In Internet of Things (IoT), there are many future applications in smart environments. This paper first presents a possible scenario of a family making use of the IoT in their daily living, and then work leading to integration of unobtrusive sensors in the smart environment is discussed. In the applications discussed, Bluetooth connections linked and connected the sensors that were used in the wireless sensor network as an intuitive sensor communication platform. The paper presents results of a methodology and experimentation for human identification using sensors and microcontrollers and discusses how this can lead to integration and increased personalization within an IoT smart environment using only unobtrusive sensors.

引用

页码：236 / 241

页数：6

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