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This work proposes the novel use of spinning beacons for precise indoor localization. The proposed "SpinLoc" (Spinning Indoor Localization) system uses "spinning" (<i>i.e.</i>, rotating) beacons to create and detect predictable and highly distinguishable Doppler signals for sub-meter localization accuracy. The system analyzes Doppler frequency shifts of(More)
We are what we eat. Our everyday food choices affect our long-term and short-term health. In this paper, we have designed and implemented a dietary-aware dining table that can track what and how much we eat. To enable automated food tracking, the dining table is augmented with two layers of weighting and RFID sensor surfaces to detect and recognize(More)
To infer correctly application semantics, sensor network applications often need accurate times on observations that are reported from distributed sensor nodes. Since the nodes' local clocks can go out-of-sync due to clock drifts, a networked time synchronization protocol is needed to synchronize their clocks to a reference clock. This paper provides(More)
We propose SpinTrack, a localization system enabling accurate tracking of both stationary and moving targets in the indoor environments. SpinTrack integrated two complementary methods, SpinLoc (for tracking stationary targets) and dTrack (for tracking moving targets) into one localization system. We propose how to eliminate the transitional overhead between(More)
We are what we eat. Our everyday food choices affect our long-term and short-term health. In the traditional health care, professionals assess and weigh each individual’s dietary intake using intensive labor at high cost. In this paper, we design and implement a diet-aware dining table that can track what and how much we eat. To enable automated food(More)
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