A classification-based occupant detection method for smart home using multiple-WiFi sniffers

P Wang, H Cao, S Chen, J Li, C Tu, Z Zhang - Advancements in Smart City …, 2019 - Springer
Knowing the number of occupants and where they are located proves crucial in many smart
home applications such as automated home control, anomaly detection and activity …

Occupant counting modelling for intelligent buildings based on data from multiple WiFi sniffers

P Wang, Z Zhang, Q Fang, H Cao… - International Journal of …, 2020 - inderscienceonline.com
Knowing the occupancy information in each room can create energy saving through
intelligent control of HVAC systems. In this paper, a classification-based occupant counting …

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 …

Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoT

H Zou, Y Zhou, J Yang, CJ Spanos - Energy and Buildings, 2018 - Elsevier
Precise occupancy information is extremely valuable for energy savings and optimization in
the built environment. Building management systems (BMSs) can automatically turn off the …

Enabling Ubiquitous Occupancy Detection in Smart Buildings: A WiFi FTM-Based Approach

W Wang, F Nikseresht, VG Rajan, J Gao… - … Computing in Smart …, 2023 - ieeexplore.ieee.org
Occupancy information is an essential primitive for a wide range of applications like building
energy management, security, and behavior analysis. However, balancing accuracy and …

COVID-safe spatial occupancy monitoring using OFDM-based features and passive WiFi samples

J Li, A Sharma, D Mishra, G Batista… - ACM Transactions on …, 2021 - dl.acm.org
During the COVID-19 pandemic, authorities have been asking for social distancing to
prevent transmission of the virus. However, enforcing such distancing has been challenging …

[PDF][PDF] Occupancy Detection in Indoor Environments Based on Wi-Fi Measurements and Machine Learning Methods

FM Koç - 2022 - pergamos.lib.uoa.gr
Mobile devices are currently significantly becoming part of our daily lives due to the wireless
communication capabilities have enabled a series of high level services. These Wi-Fi …

Freedetector: Device-free occupancy detection with commodity wifi

H Zou, Y Zhou, J Yang, W Gu, L Xie… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Occupancy detection is playing a critical role to improve the efficiency of building
management system and optimize personalized thermal comfort, among many other …

Estimating indoor occupancy through low-cost BLE devices

F Demrozi, C Turetta, F Chiarani, PH Kindt… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Detecting the presence of persons and estimating their quantity in an indoor environment
has grown in importance recently. For example, the information if a room is unoccupied can …

Occupancy estimation using wifi motion detection via supervised machine learning algorithms

M Azam, M Blayo, JS Venne… - 2019 ieee global …, 2019 - ieeexplore.ieee.org
WiFi signals have tendency of getting disturbed by the motion of occupants and other
movements in a zone. If we measure the level of this variation, it can represent the human …