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Human Activity Sensing with Wireless Signals: A Survey.

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  • 1Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China.

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This survey reviews wireless human activity sensing, highlighting its potential and challenges. Future research should focus on improving robustness, privacy, and integrating sensing with communications for broader applications.

Keywords:
activity recognitioncountingdetectiontrackingwireless sensing

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Signal Processing

Background:

  • Wireless networks are prevalent, generating vast data traffic.
  • Ubiquitous wireless signals offer potential for non-intrusive human activity sensing.

Purpose of the Study:

  • To comprehensively review existing research on wireless human activity sensing.
  • To identify key challenges and future research directions in the field.

Main Methods:

  • Systematic review and comparison of wireless human activity sensing techniques.
  • Analysis of seven perspectives: signal types, models, preprocessing, segmentation, feature extraction, classification, and applications.

Main Results:

  • Identified seven major challenges: robustness, sensing-communication coexistence, privacy, multi-user sensing, range limitations, complex deep learning, and lack of standard datasets.
  • Highlighted four future research trends: novel theoretical models, integrated sensing and communication, receiver-aware sensing, and open dataset development.

Conclusions:

  • Wireless human activity sensing offers significant opportunities but faces critical challenges.
  • Advancements in theoretical models, system integration, and data standardization are crucial for future progress.