Tag Archives: Atmos

Atmos: Crowd–sourcing Estimations about Current and Future Weather Conditions

This month saw the International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) held in the unexpectedly sunny Seattle. UbiComp is the premier conference in the field, regularly attracting over 700 participants. RECALL had a strong presence there, with team members organizing a novel Workshop on “Ubiquitous Technologies for Augmenting the Human Mind (WAHM)”. In additional, RECALL team member Evangelos Niforatos presented his work on the Atmos system in the conference’s poster session .

Atmos allows collecting empirical reports about current weather conditions.
Atmos Screenshot

Atmos is a novel approach to weather estimation. It introduces the use of participatory sensing to collect in-situ weather data, both from sensors and human input. Atmos leverages a crowd-sourcing network of mobile devices to generate highly localized information about current and future weather conditions. Participatory sensing involves the utilization of mobile devices to form interactive, collaborative sensor networks that enable users to garner, analyze and share local knowledge. Under this guise, participatory sensing exhibits a unique level of spatio-temporal coverage in observing phenomena of interest in urban spaces. The key idea behind this new paradigm is the enabling of mobile users to collect and share sensed data about their natural settings in large scale, using their mobile devices. Continue reading Atmos: Crowd–sourcing Estimations about Current and Future Weather Conditions