An efficient algorithm to estimate Covid-19 infectiousness risk from BLE-RSSI measurements (Q4718)
Revision as of 07:24, 1 June 2020 by Genferei (talk | contribs) (Changed claim: Property:P15: https://app.stopcovid.gouv.fr/json/version-22/config.json)
scholarly article published on May 29,2020
| Language | Label | Description | Also known as |
|---|---|---|---|
| English |
An efficient algorithm to estimate Covid-19 infectiousness risk from BLE-RSSI measurements
|
scholarly article published on May 29,2020
|
Statements
BLE calibration for 26 different types of smartphones
0 references
The RSSI values may differ from more than 20dB. Therefore, a raw RSSI measure should be understood as a non calibrated value that cannot be directly interpreted to measure neither the distance, nor the risk.
0 references
If the owner of device is tested positive and declares this event to the application layer by providing a code obtained from a physician, and only in this case, then this triggers the transmission to the server of the temporary Ids corresponding to scores above a certain threshold, together with the corresponding scores
0 references
28 May 2020
0 references