Aether - A Novel Method to Eliminate False Positives in Private Automated Contact Tracing

被引:1
|
作者
Dasari, Satvik [1 ]
机构
[1] Round Rock ISD, Westwood High Sch, Austin, TX 78681 USA
关键词
RSSI; Barometer; Obstruction; Contact Tracing; COVID-19;
D O I
10.1109/GCWkshps50303.2020.9367390
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Contact tracing has shown promise to mitigate the negative effects of serious infectious diseases, such as COVID-19. Contact tracing can identify people who have potentially been exposed to COVID-19, as well as to enforce quarantine rules. However, many of these methods store location data, and therefore present privacy concerns. Bluetooth technology provides an effective solution to avoid violating fundamental privacy rights. However, Bluetooth technology does not have a good way of knowing whether devices are on the same level or different levels. In the case of multistory buildings, false positives can occur between two people who are within close proximity but on different floors. This paper proposes a novel solution in which the built-in barometer in mobile devices is used in combination with Bluetooth to avoid false positives. This paper establishes the viability and effectiveness of the solution through various experiments to make the current Bluetooth contact tracing technology even more accurate, which will ultimately save countless lives.
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页数:5
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  • [1] Automated Method for Reducing False Positives
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  • [2] A novel method of partitioning regions in lungs and their usage in feature extraction for reducing false positives
    Acharyya, Mausumi
    Siddu, Dinesh M.
    Manevitch, Alexandra
    Stoeckel, Jonathan
    [J]. MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2, 2008, 6915
  • [3] A novel method for contact tracing for TB at household and community level
    Giridharan, P.
    Devaleenal, B.
    Thiruvengadam, K.
    Kaleeswari, M.
    Bhavani, P. K.
    Ramesh, A. M.
    [J]. INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE, 2023, 27 (05) : 414 - 415
  • [4] A novel method for automated correction of non-uniform/poor illumination of retinal images without creating false artifacts
    Saha, Sajib
    Fletcher, Alexander
    Xiao, Di
    Kanagasingam, Yogesan
    [J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2018, 51 : 95 - 103