Sensing within smart buildings: A survey
Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …
as education, industry and business. Using Internet of Things devices combined with …
Measuring indoor occupancy through environmental sensors: A systematic review on sensor deployment
The COVID-19 pandemic has changed our common habits and lifestyle. Occupancy
information is valued more now due to the restrictions put in place to reduce the spread of …
information is valued more now due to the restrictions put in place to reduce the spread of …
Occupancy estimation in buildings based on infrared array sensors detection
Y Yuan, X Li, Z Liu, X Guan - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Along with methods such as Hidden Markov Model and Linear Discriminant Analysis,
environmental sensors including temperature, humidity or carbon dioxide are used to …
environmental sensors including temperature, humidity or carbon dioxide are used to …
RGB color sensors for occupant detection: An alternative to PIR sensors
TK Woodstock, RF Karlicek - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
RGB color sensors are examined as an economical replacement for non-lighting based
occupancy sensors such as PIR sensors and ultrasonic sensors. RGB color sensors are …
occupancy sensors such as PIR sensors and ultrasonic sensors. RGB color sensors are …
Occupancy estimation using IoT sensors and machine learning: Incorporating ventilation system operating state and preprocessed differential pressure data
Indoor occupancy should be measured to reduce energy consumption in buildings and
predict infection risk. Various studies used machine learning to measure occupancy using …
predict infection risk. Various studies used machine learning to measure occupancy using …
Deep learning for building occupancy estimation using environmental sensors
Building Energy efficiency has gained more and more attention in last few years. Occupancy
level is a key factor for achieving building energy efficiency, which directly affects energy …
level is a key factor for achieving building energy efficiency, which directly affects energy …
Security and reliability of room occupancy detection using probe requests in smart buildings
T Fryza, T Bravenec, Z Kohl - 2023 33rd International …, 2023 - ieeexplore.ieee.org
We present new approaches for determining occupancy in smart building management
systems. The solutions can be applied dually, in civil and military areas, not only for …
systems. The solutions can be applied dually, in civil and military areas, not only for …
Hybrid ventilation system and soft-sensors for maintaining indoor air quality and thermal comfort in buildings
Maintaining both indoor air quality (IAQ) and thermal comfort in buildings along with
optimized energy consumption is a challenging problem. This investigation presents a novel …
optimized energy consumption is a challenging problem. This investigation presents a novel …
Indoor occupancy monitoring using environmental feature fusion and semi-supervised machine learning models
A Mena-Martinez, J Alvarado-Uribe… - Journal of Building …, 2024 - Taylor & Francis
Smart buildings optimize energy consumption and occupant comfort through Heating,
Ventilation and Air Conditioning, and lighting management. Nevertheless, large venues …
Ventilation and Air Conditioning, and lighting management. Nevertheless, large venues …
A Real-life Evaluation of Supervised and Semi-supervised Machine Learning Approaches for Indirect Estimation of Indoor Occupancy
Occupancy information is essential for space management, energy efficiency, and in times of
the COVID-19 pandemic, for crowd control. Obtaining labeled data is challenging due to …
the COVID-19 pandemic, for crowd control. Obtaining labeled data is challenging due to …