IoT-based occupancy detection system in indoor residential environments

Publication date: 15 March 2018
Source:Building and Environment, Volume 132
Author(s): Yunwan Jeon, Chanho Cho, Jongwoo Seo, Kyunglag Kwon, Hansaem Park, Seungkeun Oh, In-Jeong Chung
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 method, an IoT-based system is implemented for the occupancy detection in real residential environments. Finally, we analyze the experimental results, and compare them with those of other conventional approaches from a qualitative point of view.