Motorch: an on-device trajectory data management system during a pandemic

Chen Wu, Sheng Wang, Zhiyong Peng

Abstract: In this paper, we would like to demonstrate a personal trajectory management system called Motorch, which allows users to manage their trajectories and enables risk analytics based on a lightweight similarity measure called LCTS. At the back end, a web crawler collects the desensitized COVID-19 cases information from data sources (news, social media, etc.) and pushes them to Elasticsearch for storage after data cleaning. At the front end, Motorch implements a set of operations including data collection, data preprocessing, indexing, storage, and visualization in a mobile application. Motorch aims to help individuals manipulate their data and evaluate personal risk without uploading data to a server.