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How Target’s Location and Orientation Affect Velocity Extraction Accuracy in WiFi Sensing Systems

Published: 25 September 2023 Publication History

Abstract

WiFi sensing has emerged as a promising technology for smart services, including gesture recognition and trajectory tracking. One of the key challenges in these applications is accurately extracting velocity from WiFi signals. In this paper, we report our latest development to investigate the impact of location and orientation on velocity extraction in WiFi sensing systems. The proposed theory demonstrates that the velocity extraction significantly depends on the target’s location and orientation. Thus careful consideration of the target’s location and orientation is necessary for WiFi sensing system design. Specifically, two real-world applications (gesture recognition and trajectory tracking) are presented to illustrate how to eliminate the impact of location and orientation independent in velocity extraction.

References

[1]
Kai Niu, Xuanzhi Wang, Fusang Zhang, Rong Zheng, Zhiyun Yao, and Daqing Zhang. 2022. Rethinking Doppler Effect for Accurate Velocity Estimation With Commodity WiFi Devices. IEEE Journal on Selected Areas in Communications 40, 7 (2022), 2164–2178.
[2]
Kai Niu, Fusang Zhang, Xuanzhi Wang, Qin Lv, Haitong Luo, and Daqing Zhang. 2021. Understanding WiFi Signal Frequency Features for Position-Independent Gesture Sensing. IEEE Transactions on Mobile Computing (2021), 1–1.

Cited By

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  • (2024)Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five YearsSensors10.3390/s2422719524:22(7195)Online publication date: 10-Nov-2024

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Information

Published In

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ACM TURC '23: Proceedings of the ACM Turing Award Celebration Conference - China 2023
July 2023
173 pages
ISBN:9798400702334
DOI:10.1145/3603165
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2023

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Author Tags

  1. WiFi sensing
  2. contactless sensing
  3. gesture recognition
  4. human tracking
  5. location and orientation

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  • Poster
  • Research
  • Refereed limited

Funding Sources

  • Project funded by China Postdoctoral Science Foundation
  • National Natural Science Foundation of China A3 Foresight Program
  • PKU-NTU Collaboration Project

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ACM TURC '23

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Cited By

View all
  • (2024)Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five YearsSensors10.3390/s2422719524:22(7195)Online publication date: 10-Nov-2024

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