RightSPOT: A Novel Sense of Location for a Smart Personal Object

摘要: One of the main prerequisites for location-based services is knowledge location. We present a simple algorithm computing location device based on signal strengths from FM radio stations. The motivation this method comes new class smart personal objects that will receive digital data encoded in regular broadcasts. Given their built-in ability to and measure strengths, we show how exploit device’s Our algorithm, called RightSPOT, designed be robust manufacturing variations among devices affect they strength. Toward end, classification not absolute but ranking multiple In tests with three six suburban areas, can correctly infer about 80% time.