Data fusion for personal air pollution exposure

摘要

Systems and methods collect time and location indexed (spatiotemporal) air quality measurements for an individual and aggregate those measurements to obtain cumulative air quality exposures for the individual that are presented to the individual with an interactive graphical display. A plurality of air quality sensors each transmits air quality data to the data center. The air quality sensors can comprise both indoor and outdoor air quality sensors. The data center stores the temporally-indexed user location information and the spatiotemporally-indexed air pollution information from the air quality sensors. Based on this information, it calculates user air quality exposure measures and transmits them to a graphical display device associated with the individual so that the individual can visualize his/her pollution exposure over time. Where the data center has information on the individual's activities at certain times, it can compute and display for the individual air quality exposure measures by activity type. The calculations can use a K-nearest neighbor algorithm to compute the individual's air quality exposures.