This repository contains the codes for our paper entitled "Urban Running Activity Detected Using a Seismic Sensor during COVID-19 Pandemic" written by Yumin Zhao, Yunyue Elita Li, Enhedelihai Nilot, and Gang Fang. The paper is published in Seismological Research Letters, and can be found here: https://doi.org/10.1785/0220210147.
Citation:
Zhao, Y., Li, Y. E., Nilot, E., & Fang, G. (2022). Urban Running Activity Detected Using a Seismic Sensor during COVID‐19 Pandemic. Seismological Society of America, 93(1), 181-192. doi: https://doi.org/10.1785/0220210147.
The raw data used in this paper can be downloaded via this link: https://doi.org/10.5281/zenodo.4905734.
The main processing modules of the footstep detection algorithm is in "data_processing_modules.py".
You can detect the footstep signals, count the runners, and record the cadences of the runners by running "Running_activity_monitoring.ipynb".