Epidemic contact tracing with smartphone sensors
release_hxqqhxgwn5eifedfvwaeupqdha
by
Khuong An Nguyen, Zhiyuan Luo, Chris Watkins
2020
Abstract
Contact tracing is widely considered as an effective procedure in the fight
against epidemic diseases. However, one of the challenges for technology based
contact tracing is the high number of false positives, questioning its
trust-worthiness and efficiency amongst the wider population for mass adoption.
To this end, this paper proposes a novel, yet practical smartphone-based
contact tracing approach, employing WiFi and acoustic sound for relative
distance estimate, in addition to the air pressure and the magnetic field for
ambient environment matching. We present a model combining 6 smartphone
sensors, prioritising some of them when certain conditions are met. We
empirically verified our approach in various realistic environments to
demonstrate an achievement of up to 95% fewer false positives, and 62% more
accurate than Bluetooth-only system. To the best of our knowledge, this paper
was one of the first work to propose a combination of smartphone sensors for
contact tracing.
In text/plain
format
Archived Files and Locations
application/pdf 3.6 MB
file_c3ibqq5vazat7iq3fzgwtuhr6a
|
arxiv.org (repository) web.archive.org (webarchive) |
2006.00046v2
access all versions, variants, and formats of this works (eg, pre-prints)