In this paper we present WiDE, a deep learning-based system for estimating person-to-person distance based on surrounding WiFi signals.
In this paper we present WiDE, a deep learning-based system for estimating person-to-person distance based on surrounding WiFi signals. Specifically, WiDE has ...
Request PDF | On Dec 1, 2018, Wenping Liu and others published WiFi-Sensing Based Person-to-Person Distance Estimation Using Deep Learning | Find, read and ...
Jan 11, 2023 · We developed a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions.
Aug 15, 2022 · In this study, we proposed a distance estimation model that detects whether two fingerprints are close to each other and estimates the ...
Feb 13, 2024 · This paper introduces a cutting-edge, non-contact human presence detection technology based on wireless sensing.
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This paper conducts a comprehensive survey of recent advances and practical implementations of WiFi-based human identification.
Jul 1, 2024 · This article provides a comprehensive literature survey on the recent advances in DL-empowered WiFi sensing focusing on human activity ...
This study presents a new method for estimating the physical distance between two locations using Wi-Fi signals from APs observed by Wi-Fi signal receivers ...
Apr 30, 2024 · In this study, the authors proposed utilization of machine learning to improve the estimation of geospatial distance between fingerprints. This ...