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From Scientific American:
Instead of focusing on a single type of signal to map indoor areas, researchers at Duke University and Egypt-Japan University of Science and Technology are developing software to help smartphone users find their way by gathering information from a number of different signal types. Their UnLoc system-short for unsupervised indoor localization-gathers signal data using Wi-Fi antennas, cellular radios, compasses, gyroscopes and accelerometers.
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