Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi

By Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, Kyle Jamieson. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2017

345 citations recorded by the source corpus.

Subfields: Computer Science Applications, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/46248ccea6f87c91571148bd0be86a7160df0de1

How researchers see this paper

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

In Computer Science Applications

1. Yunhao Liu
2. Chenshu Wu
3. Zheng Yang

In Electrical and Electronic Engineering

1. Kun Qian
2. Zheng Yang
3. Gang Zhou
4. Chenshu Wu
5. Yunhao Liu
6. Guidong Zhang
7. Yi Zhang
8. Yongsen Ma

In Signal Processing

1. Kun Qian
2. Yunhao Liu
3. Zheng Yang
4. Chenshu Wu
5. Gang Zhou
6. Chen Chen
7. Youfang Lin
8. Yuanhao Cui

Citations in the corpus

• Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, background): “Hence, the existing solutions tend to generally estimate the relative range of the target [125].”
• Towards 3D human pose construction using wifi (2020, background): “The Doppler frequency shift (DFS) fD (t) is defined as the change in the length of the signal propagation path d(t) [33, 44]:”
• Widar2.0: Passive Human Tracking with a Single Wi-Fi Link (2018, background): “Since dedicated hardware are difficult to be generalized, researches are shifted to ubiquitous COTSRF devices, such as RFID [26, 27, 33, 42], millimetre wave [35, 45] and Wi-Fi [21, 32].”
• Cross-Domain WiFi Sensing with Channel State Information: A Survey (2022, background): “• We provide a comprehensive overview of the advancements made regarding cross-domain WiFi sensing, including removing domain-dependent components and extracting Gesture Recognition [49, 70, 76, 114, 120]; Activity Recognition [4, 24, 80, 115]; Motion Detection [21]; User Identification [61, 118, 11”
• WiFi Sensing with Channel State Information (2019, background): “, transmit/receive antennas and carrier frequencies, are related to signal transmission delay and direction, which can be used for human localization and tracking [36, 41, 43, 52, 63, 69, 74, 76, 84, 89, 93, 97, 109, 115, 126, 130, 131, 136, 137, 148].”
• Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi (2019, methodology): “By representing phases of multipath signals with the corresponding DFS, CSI can be transformed as [32]:”
• Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi (2021, methodology): “…human body coordinate will contribute its signal power to some frequency component, denoted as f ð i Þ ð ~v Þ , in the DFS profile of the i th link [17]: where ~v ð g Þ ¼ ð v ð g Þ x ; v ð g Þ y Þ is the velocity in global coordinate and is rotated from ~v ð b Þ with the human orientation. a ð i Þ…”