Driven by the visions of the Internet of Things (IoT), Artificial Intelligence (AI), and 5G
communications, the Internet of Cultural Things (IoCT) realize the comprehensive …

Passive fingerprinting collects the received signal strength (RSS) of wireless local area
network (WLAN) signals emitted from a smartphone to create fingerprints and then to …

Crowd monitoring involves tracking and analyzing the behavior of large groups of people in
large-scale public spaces, such as sports games. In sports stadiums, understanding …

This paper introduces a Patron Counting and Analysis (PCA) system that leverages Wi-Fi-
connection data to monitor space utilization and analyze visitor patterns in academic …

Nowadays, fingerprint positioning is the mainstream method in indoor positioning and
Weighted-K-Nearest-Neighbor (WKNN) is most widely used in fingerprint matching …

Growing apprehensions surrounding public safety have captured the attention of numerous
governments and security agencies across the globe. These entities are increasingly …

Wi-Fi fingerprinting is the most popular indoor positioning method today, representing
received signal strength (RSS) values as vector-type fingerprints. Passive fingerprinting …

This study aims to design and develop Wi-Fi tracker system that utilizes RSSI-based
distance parameters for crowd-monitoring applications in indoor settings. The system …

Abstract Artificial Intelligent (AI) and Internet of Things (IoT) will provide novel solutions in the
area of public spaces design if the designers could understand how these technologies can …

The localization and counting of persons in indoor spaces is an area of extensive research.
Indoor population metrics can inform energy conservation, health and safety, security …