Epidemic contact tracing with smartphone sensors

被引:17
作者
Khuong An Nguyen [1 ]
Luo, Zhiyuan [2 ]
Watkins, Chris [2 ]
机构
[1] Univ Brighton, Sch Comp Engn & Math, Brighton, E Sussex, England
[2] Royal Holloway Univ London, Comp Sci Dept, Egham, Surrey, England
关键词
Contact tracing; Covid-19; smartphone sensors;
D O I
10.1080/17489725.2020.1805521
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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 trustworthiness 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 six 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.
引用
收藏
页码:92 / 128
页数:37
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