Review of vision-based occupant information sensing systems for occupant-centric control

H Choi, CY Um, K Kang, H Kim, T Kim - Building and Environment, 2021 - Elsevier
Abstract Vision-based (camera-based) systems, which can effectively sense occupant
information, have garnered attention as a core technology in the Fourth Industrial …

Vision-based estimation of clothing insulation for building control: A case study of residential buildings

H Choi, HS Na, T Kim, T Kim - Building and Environment, 2021 - Elsevier
Efforts have been made to estimate clothing insulation in real time, an element of thermal
comfort for occupants. Nevertheless, an effective method to estimate clothing insulation in …

Edge computing with embedded ai: Thermal image analysis for occupancy estimation in intelligent buildings

A Metwaly, JP Queralta, VK Sarker, TN Gia… - Proceedings of the …, 2019 - dl.acm.org
With the rise of the IoT, there has been a growing demand for people counting and
occupancy estimation in Intelligent buildings for adapting their heating, ventilation and …

Deep vision-based occupancy counting: Experimental performance evaluation and implementation of ventilation control

H Choi, J Lee, Y Yi, H Na, K Kang, T Kim - Building and Environment, 2022 - Elsevier
Recently, many researchers have become interested in occupant information and occupant-
centric control (OCC) strategies, aiming for efficient building operation. Combining a camera …

A detailed occupant activity classification model in a residential environment using building monitoring data: Considering occupant characteristics

SH Kim, HJ Moon - Energy and Buildings, 2024 - Elsevier
In this study, we developed a detailed occupant activity classification model to detect
occupant activities using various non-intrusive monitoring data in buildings (ie, indoor …

Multi-objectives occupant-centric control of thermostats and natural ventilation systems in cold climate conditions using real-time occupant-related information

Z Wang, H Tang, H Zhang, D Jiang, Y Leng, Y Wu… - Building and …, 2024 - Elsevier
Abstract Recently, Occupant-Centric Controls (OCCs) have attracted great attention. Many
studies have applied OCCs to mechanical ventilation systems, while natural ventilation …

Thermal imagery feature extraction techniques and the effects on machine learning models for smart HVAC efficiency in building energy

YT Acquaah, B Gokaraju, RC Tesiero III, GH Monty - Remote Sensing, 2021 - mdpi.com
The control of thermostats of a heating, ventilation, and air-conditioning (HVAC) system
installed in commercial and residential buildings remains a pertinent problem in building …

A review of HVAC system optimization and its effects on saving total energy utilization of a building

R Revichandran, JSM Ali, M Idres… - Journal of Advanced …, 2022 - semarakilmu.com.my
The paper illustrates the review on the optimizations studies of HVAC systems based on
three main methods–HVAC operational variables optimization, optimization of control …

Occupancy detection for smart HVAC efficiency in building energy: a deep learning neural network framework using thermal imagery

Y Acquaah, JB Steele, B Gokaraju… - 2020 IEEE Applied …, 2020 - ieeexplore.ieee.org
Heating, ventilation, and air conditioning (HVAC) costs a significant portion of total building
energy consumption and aiming occupant comfort is imminent to measure building …

Computer-vision-assisted subzone-level demand-controlled ventilation with fast occupancy adaptation for large open spaces towards balanced IAQ and energy …

Z Cui, Y Sun, D Gao, J Ji, W Zou - Building and Environment, 2023 - Elsevier
It is essential to retrofit the conventional constant air volume air-conditioning of large open
spaces with improved demand-controlled ventilation (DCV) for balanced indoor air quality …