Memorias de investigación
Communications at congresses:
Indoor Occupancy Prediction using an IoT Platform
Year:2019

Research Areas
  • Artificial intelligence,
  • Dataprocessing,
  • Sensor devices

Information
Abstract
Current research in indoor sensor networks has pointed out an emerging interest in occupancy detection for Building Information Management (BIM) because buildings use 68% of Canadas energy in operation and contribute 17% of greenhouse gas (GHG) emissions. This research paper aims at developing a non-intrusive sensing method for predicting occupancy towards reducing building emission while also pro-moting a comfortable and productive working environment, while retaining the privacy of occupants. Towards this end, an IoT platform consisting of three main components: the edge computing environment, cloud based infrastructure, and network communication, together create a robust open source IoT architecture. The open source IoT architecture employs temperature, humidity, and pressure sensors for observing am-bient environmental characteristics while combining PIR motion sensors, CO2, and sound detectors. An occupancy detection model is then developed by applying Support Vector Machine (SVM) to predict occupancy patterns from the incoming IoT sensor data. This platform is a low-cost and highly scalable both in terms of the variety of on board sensors and portability of the sensor nodes, which makes it well suited for multiple applications related to occupancy and environmental monitoring.
International
Si
Congress
The 6th IEEE International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2019)
960
Place
Granada
Reviewers
Si
ISBN/ISSN
978-1-7281-2949-5
Start Date
22/10/2019
End Date
25/10/2019
From page
26
To page
31
2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)
Participants
  • Autor: Alec Parise University of New Brunswick
  • Autor: Miguel Angel Manso Callejo UPM
  • Autor: Hung Cao University of New Brunswick
  • Autor: Marco Mendonca University of New Brunswick
  • Autor: Harpreet Kohli University of New Brunswick
  • Autor: Mónica Wachowicz University of New Brunswick

Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería Topográfica y Cartografía