Non-Invasive Detection of Moving and Stationary Human With WiFi

By Chenshu Wu, Zheng Yang, Zimu Zhou, Xuefeng Liu, Yunhao Liu, Jiannong Cao. IEEE Journal on Selected Areas in Communications, 2015

333 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8c0a1f7e36311a7fcfa5a216fdc1fcb5ea9dd2f3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Gang Zhou
2. Kun Qian
3. Daqing Zhang
4. Tao Gu
5. Jiang Xiao
6. Lionel Ming-shuan Ni
7. Kyle Jamieson
8. Yunhao Liu

In Electrical and Electronic Engineering

1. Zheng Yang
2. Yunhao Liu
3. Kun Qian
4. Chenshu Wu
5. Zimu Zhou
6. Gang Zhou
7. Kyle Jamieson
8. Lionel Ming-shuan Ni

Citations in the corpus

• WiFi Sensing with Channel State Information (2019, methodology): “Detection: binary classification Human Presence Detection [3, 24, 67, 73, 75, 83, 112, 114, 121, 148, 149, 152] Human Event Detection: Fall [32, 68, 92, 135, 137], Motion [23, 27, 51, 55], Walking [126], Posture Change [57, 58], Intrusion [51, 59], Sleeping [57, 58], Keystroke [5], Driving Fatigue [”
• Towards 3D human pose construction using wifi (2020, background): “WiFi Sensing: Recently, a considerable number of investigations are conducted to make use ofWiFi devices to enable various sensing tasks, including indoor localization and tracking [5, 22, 25, 33, 39, 42, 48–50, 52, 53, 65], walking speed estimation [17, 43], breathing and heartbeats inference [6, 5”
• Cross-Domain WiFi Sensing with Channel State Information: A Survey (2022, methodology): “DeMan [98] NR: Band-Pass Filter, Linear Regression; SE: Cross-Correlation Denoised amplitude and phase DIFE-CFE: Maximum eigenvalues of correlation matrices; EMP: Hypothesis test N/A”
• Wireless Sensing for Human Activity: A Survey (2020, background): “Moreover, PADS [9] and DeMan [116] further extract the maximum eigenvalues of the covariance matrix from successive full CSI information, including both amplitude and phase, to enhance detection performance.”
• Human respiration detection with commodity wifi devices: do user location and body orientation matter? (2016, background): “[42] extended the respiration detection from sleeping to standing posture for stationary human detection.”
• Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi (2017, background): “Many innovative applications and systems have been designed, including gesture recognition [19], respiration detection [22] and direction estimation [11], etc.”
• RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices (2017, background): “E-mail: {wanghao, dqzhang}@sei.pku.edu.cn, {majunyi, wyxpku, lishengjie}@pku.edu.cn. Y. Wang is with the National Engineering Research Center of Software Engineering, Peking University, China.”
• A Survey on Wireless Indoor Localization from the Device Perspective (2016, background): “DeMan [Wu et al. 2015] further proposed a unified framework to detect both moving and static humans via breath detection.”