HIGHLIGHTS
- who: Peter Brida and colleagues from the Signal Strength (RSS) from WiFi networks and the Inertial Measurement Unit (IMU) data collectionThe dead reckoning algorithm processes the IMU data with particle filtering, which helps reduce the localization error of the recovered track. The proposed solution was tested in a real-world environment. The mean localization error of the recovered track was less than, ., m, with a maximum error of approximately, ., m. Paper [11] presents a novel human activity recognition system, named WiLiMetaSensing. It realizes location-independent sensing with very few samples in the Wi-Fi environment. Inspired by . . .
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