Name
Title | ||
|---|---|---|
Crowd Estimation Using Electromagnetic Wave Power-Level Measurements: A Proof of Concept |
Abstract | ||
|---|---|---|
Current crowd density estimation technologies that leverage IR depth perception, video and image processing or WiFi/BLE-based sniffing and probing have privacy and deployment issues. This paper presents a novel method for non-intrusive crowd density estimation that monitors variation in EM radiation within an environment. The human body's electrical and magnetic characteristics can be correlated with variations in available EM energy. This allows for the determination of the number of people within a room. Simulations conducted using Comsol to analyse and measure electromagnetic energy levels inside a room containing human bodies. Experimental analysis provides validation of the simulation results by showing
<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{0.8}\;\text{dBm}$</tex-math></inline-formula>
drop on the average level of EM energy per person. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TVT.2019.2955223 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Estimation,Bluetooth,Wireless fidelity,Privacy,Poles and towers,Feature extraction,Mobile handsets | Journal | 69 |
Issue | ISSN | Citations |
1 | 0018-9545 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farzad Tofigh | 1 | 4 | 2.42 |
| Majid Amiri | 2 | 1 | 0.69 |
| Negin Shariati | 3 | 6 | 2.66 |
| Justin Lipman | 4 | 1 | 0.35 |
| Mehran Abolhasan | 5 | 451 | 48.95 |