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About this paper
Jingtao Guo, Wenhao Zhuang, Yuyi Mao, Ivan Wang-Hei Ho
Researchers developed a device-free passenger counting system for public transportation that leverages existing Wi-Fi infrastructure. The system utilizes a cooperative sensing framework with multiple Wi-Fi receivers, applying an adaptive RSSI-weighted feature fusion technique to combine Channel State Information (CSI) and Received Signal Strength Indicator (RSSI), achieving over 94% accuracy in real-world bus deployments.
Key insights
- Human presence affects Wi-Fi signal propagation (CSI and RSSI), enabling device-free sensing.
- Combining detailed CSI features with coarse-grained RSSI information from multiple receivers can improve sensing accuracy.
- Dynamically weighting contributions from different receivers based on their real-time signal quality (RSSI) enhances feature discrimination and overall performance.
Summary by alphaXiv.
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