Kiran Chikkappa

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—Cortina is an energy-efficient indoor localization system, which leverages a wireless sensor network to support navigation and tracking applications. To improve the localization performance, we develop a hybrid ranging system, which incorporate both RSS and RToF-based techniques. To overcome effects from indoor multipath, we design and implement algorithms(More)
The tags also include an accelerometer for activity recognition, and a barometric pressure sensor to accurately detect the floor plan. We have conducted experiments over a 2000 m 2 area instrumented with eighteen sensor nodes. Our initial results show that the system can track people in real-time with an average error of 2.8 m. I. INTRODUCTION In the past(More)
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