IoT-based occupancy detection system in indoor residential environments

Volume: 132, Pages: 181 - 204
Published: Mar 1, 2018
Abstract
We propose an Internet of Things (IoT)-based occupancy detection system using change patterns of dust concentrations such as particulate matter. Previous research studies have used other features such as visual, chemical, or acoustic data. In this paper, the point extraction algorithm is proposed to construct triangular shapes, and their properties are used to detect occupancy in an indoor environment. For the verification of the proposed...
Paper Details
Title
IoT-based occupancy detection system in indoor residential environments
Published Date
Mar 1, 2018
Volume
132
Pages
181 - 204
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