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Location is a key information for context-aware systems. While coarse-grained indoor location estimates may be obtained quite easily (e.g. based on WiFi or GSM), finer-grained estimates typically require additional infrastructure (e.g. ultrasound). This paper explores an approach to estimate significant places, e.g., at the fridge, with no additional setup or infrastructure. The authors use a pocket-based inertial measurement sensor, which can be found in many recent phones. They analyze how the spatial layout such as geographic orientation of buildings, arrangement and type of furniture can serve as the basis to estimate typical places in a daily scenario.
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