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Deep AI Enabled Ubiquitous Wireless Sensing: A Survey

Published: 08 March 2021 Publication History

Abstract

With the development of the Internet of Things (IoT), many kinds of wireless signals (e.g., Wi-Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication, wireless signals can sense the status of surrounding objects, known as wireless sensing, with their reflection, scattering, and refraction while propagating in space. In the last decade, many sophisticated wireless sensing techniques and systems were widely studied for various applications (e.g., gesture recognition, localization, and object imaging). Recently, deep Artificial Intelligence (AI), also known as Deep Learning (DL), has shown great success in computer vision. And some works have initially proved that deep AI can benefit wireless sensing as well, leading to a brand-new step toward ubiquitous sensing. In this survey, we focus on the evolution of wireless sensing enhanced by deep AI techniques. We first present a general workflow of Wireless Sensing Systems (WSSs) which consists of signal pre-processing, high-level feature, and sensing model formulation. For each module, existing deep AI-based techniques are summarized, further compared with traditional approaches. Then, we provide a view of issues and challenges induced by combining deep AI and wireless sensing together. Finally, we discuss the future trends of deep AI to enable ubiquitous wireless sensing.

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cover image ACM Computing Surveys
ACM Computing Surveys  Volume 54, Issue 2
March 2022
800 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/3450359
Issue’s Table of Contents
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Published: 08 March 2021
Accepted: 01 November 2020
Revised: 01 September 2020
Received: 01 June 2020
Published in CSUR Volume 54, Issue 2

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  1. AI
  2. LoRa
  3. Wi-Fi
  4. Wireless sensing
  5. acoustic
  6. activity recognition
  7. deep learning
  8. deep neural network
  9. human localization
  10. pose estimation

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