A Study of Crowd Density Estimation with Wi-Fi Signal band in Closed Space
| Autor: | Rardchawadee Silapunt, Sittichai Wangwiwattana |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Line-of-sight Computer science Acoustics Attenuation Transmitter 020206 networking & telecommunications Body movement 02 engineering and technology Density estimation Lossy compression Signal Power (physics) 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). |
| DOI: | 10.1109/ecticon.2018.8620030 |
| Popis: | This research aims to utilize the Wi-Fi signal band to estimate number or density of passengers in the train car before the train arrives at the station. This estimation is done based on the fact that a human body is considered as a lossy material for electromagnetic propagation. The study shows that at medium to low density, there is only slight difference in the received signal power whereas there is a drastic change at high density. The received signal power is also altered by body movement and active neighbor transmitter nodes. |
| Databáze: | OpenAIRE |
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