Smart Spaces: Occupancy Detection using Adaptive Back-Propagation Neural Network

M Saleem, MS Khan, GF Issa, A Khadim… - … for Technology and …, 2023 - ieeexplore.ieee.org
In recent years, the concept of smart spaces and occupancy detection is crucial for creating
more efficient and sustainable buildings that prioritize both energy efficiency and occupant …

A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions

PW Tien, S Wei, JK Calautit, J Darkwa, C Wood - Energy and Buildings, 2020 - Elsevier
This paper introduces a vision-based deep learning approach that enables the detection
and recognition of occupants' activities within building spaces. The data can feed into …

[HTML][HTML] Edge-based real-time occupancy detection system through a non-intrusive sensing system

AN Sayed, F Bensaali, Y Himeur, M Houchati - Energies, 2023 - mdpi.com
Building automation and the advancement of sustainability and safety in internal spaces
benefit significantly from occupancy sensing. While particular traditional Machine Learning …

[PDF][PDF] Deep-learning for occupancy detection using doppler radar and infrared thermal array sensors

M Abedi, F Jazizadeh - Proceedings of the International Symposium on …, 2019 - par.nsf.gov
An accurate, real-time monitoring of the occupancy state of each space is a necessity for
applications such as energy-aware smart buildings. In this paper, we have studied the …

Thermal-sensor-based occupancy detection for smart buildings using machine-learning methods

H Zhao, Q Hua, HB Chen, Y Ye, H Wang… - ACM Transactions on …, 2018 - dl.acm.org
In this article, we propose a novel approach to detect the occupancy behavior of a building
through the temperature and/or possible heat source information. The new method can be …

[HTML][HTML] A computer vision-based occupancy and equipment usage detection approach for reducing building energy demand

PW Tien, S Wei, J Calautit - Energies, 2020 - mdpi.com
Because of extensive variations in occupancy patterns around office space environments
and their use of electrical equipment, accurate occupants' behaviour detection is valuable …

[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis

AN Sayed, Y Himeur, F Bensaali - Engineering applications of artificial …, 2022 - Elsevier
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …

Fusion of nonintrusive environmental sensors for occupancy detection in smart homes

L Zimmermann, R Weigel… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
We presented an approach to detect and count occupants using a fusion of environmental
sensors from an indoor air quality measurement system. Environmental sensors, as …

Occupancy heat gain detection and prediction using deep learning approach for reducing building energy demand

PW Tien, S Wei, JK Calautit, J Darkwa… - Journal of Sustainable …, 2021 - hrcak.srce.hr
Sažetak The use of fixed or scheduled setpoints combined with varying occupancy patterns
in buildings could lead to spaces being over or under-conditioned, which may lead to …

Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand

PW Tien, S Wei, JK Calautit, J Darkwa, C Wood - Applied Energy, 2022 - Elsevier
Occupancy behaviour in buildings can impact the energy performance and operation of
heating, ventilation and air-conditioning (HVAC) systems. HVAC, which uses conventional …