CoSDEO 2016 Keynote: A decade later — Challenges: Device-free passive localization for wireless environments

By Moustafa Youssef. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016

409 citations recorded by the source corpus.

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mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking (2018, background): “ gesture recognition and Wi-Fi imaging in recent years. Acoustic signal based solutions [36, 41, 57] can only work within a few decimeters. Wi-Fi RSSI/CSI signature based passive localization systems [2, 6, 39, 40, 42, 46, 55] usually rely on high-density deployments which are not realistic for larg”
WiFall: Device-free fall detection by wireless networks (2017, background): “Authors in [26] first describe device-free passive (DfP) localization , which does not require the entities to carry any device during positioning.”
We Can Hear You with Wi-Fi! (2014, background): “WiHear locates the mouth of an individual, and then recognizes his words by monitoring the signal reflections from his mouth.”
Electronic frog eye: Counting crowd using WiFi (2014, methodology): “Most approaches employ RSS fingerprints for localization [9], [10], [11], [12], which can be easily obtained for most off-the-shelf wireless devices.”
UbiBreathe: A Ubiquitous non-Invasive WiFi-based Breathing Estimator (2015, background): “…more detailed channel state information (CSI) in standard WiFi networks, have emerged as ubiquitous solutions for presence detection [1,4,10–12,18,20,34,36,40,44] , tracking individuals [19, 33, 35, 39] , recognition of different human activities [3,8,16,42], and gesture recognition systems [2,32].”