An efficient algorithm to estimate Covid-19 infectiousness risk from BLE-RSSI measurements (Q4718)

From Wikibase Personal data
Revision as of 07:23, 1 June 2020 by Genferei (talk | contribs) (‎Changed [en] description: scholarly article published on May 29,2020)
Jump to navigation Jump to search
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

    0 references
    0 references
    0 references
    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

    Identifiers

    0 references