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 …
Building automation and the advancement of sustainability and safety in internal spaces benefit significantly from occupancy sensing. While particular traditional Machine Learning …
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 …
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 …
Because of extensive variations in occupancy patterns around office space environments and their use of electrical equipment, accurate occupants' behaviour detection is valuable …
The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating …
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 …
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 …
Occupancy behaviour in buildings can impact the energy performance and operation of heating, ventilation and air-conditioning (HVAC) systems. HVAC, which uses conventional …