Name
Title | ||
|---|---|---|
IMPERSONAL: An IoT-Aided Computer Vision Framework for Social Distancing for Health Safety |
Abstract | ||
|---|---|---|
Recently, pushed by the COVID-19 pandemic, the need of respecting social distancing has motivated several researchers to define novel technological solutions to monitor and track user movements. Information and Communications Technologies (ICT) world has addressed this challenge by means of the use of different technologies, such as Bluetooth, in order to track user interdistance and encounter tim... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3097590 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Monitoring,Social factors,Human factors,Cameras,Internet of Things,COVID-19,Pandemics | Journal | 9 |
Issue | ISSN | Citations |
10 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romeo Giuliano | 1 | 263 | 45.48 |
| Eros Innocenti | 2 | 0 | 0.34 |
| Franco Mazzenga | 3 | 153 | 35.12 |
| Anna Maria Vegni | 4 | 165 | 20.16 |
| Alessandro Vizzarri | 5 | 0 | 0.34 |