Air Quality Sensing: OpenSense II

This lecture discusses the OpenSense II project, focusing on crowdsourcing high-resolution air quality sensing in urban areas. It covers the impact of air pollution on health, the system vision integrating various measurement data sources, deployments in Lausanne and Zurich, sensing platforms, datasets collected, backend data processing using Global Sensor Networks, pollution mapping models, correlation results with health data, and societal and technological impacts. The lecture also explores algorithms for crowdsensing, a pilot study on physical activity vs. air pollution exposure, and collaborations with various companies and entities. The OpenSense II team and their contributions to the project are highlighted.