An efficient algorithm to estimate Covid-19 infectiousness risk from BLE-RSSI measurements (Q4718)
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scholarly article published on May 29,2020
| Language | Label | Description | Also known as |
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| English |
An efficient algorithm to estimate Covid-19 infectiousness risk from BLE-RSSI measurements
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scholarly article published on May 29,2020
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Statements
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.
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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
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28 May 2020
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