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In recent years several research groups, including ours, have demonstrated participatory systems that use wearable or vehicle-mounted portable units coupled with smartphones to crowdsource urban air pollution data from lay users. These systems have shown remarkable improvement in spatial granularity over government-operated monitoring systems, leading to better mapping and understanding of urban air...
A new approach exploits existing Wi-Fi infrastructure to extract unique Wi-Fi signal patterns from the smartphones of people in lines to estimate wait times. The approach can work under real-world queue scenarios in various environments without requiring a specialized infrastructure or incurring manpower overhead. Furthermore, it only requires that a small fraction of people waiting in line use Wi-Fi...
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