A statistical approach for controlling the probability of false alarm and missed detection in smartphone-based earthquake early warning systems

Smartphone-based earthquake early warning systems (EEWS) are emerging as a complementary solution to classic EEWS based on expensive scientific-grade instruments. Smartphone-based systems, however, are characterized by a highly dynamic network geometry and by noisy measurements. Thus the need to control the probability of false alarm and the probability of missed detection. This paper proposes a statistical approach based on the maximum likelihood method to address this challenge and to jointly estimate in near real-time earthquake parameters like epicentre and depth. The approach is tested using data coming from the Earthquake Network citizen science initiative which implements a global smartphone-based EEWS.

READ FULL TEXT

page 5

page 7

research
01/20/2019

Earthquake Early Warning and Beyond: Systems Challenges in Smartphone-based Seismic Network

Earthquake Early Warning (EEW) systems can effectively reduce fatalities...
research
05/26/2021

POD: A Smartphone That Flies

We present POD, a smartphone that flies, as a new way to achieve hands-f...
research
02/12/2021

"Shaking in 5 seconds!" A Voluntary Smartphone-based Earthquake Early Warning System

Public earthquake early warning systems have the potential to reduce ind...
research
02/27/2021

DeepBLE: Generalizing RSSI-based Localization Across Different Devices

Accurate smartphone localization (< 1-meter error) for indoor navigation...
research
06/15/2021

Defending Touch-based Continuous Authentication Systems from Active Adversaries Using Generative Adversarial Networks

Previous studies have demonstrated that commonly studied (vanilla) touch...

Please sign up or login with your details

Forgot password? Click here to reset