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Updated: Sep 13, 2025

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Entropy-Based Human Activity Measure Using FMCW Radar.

Hak-Hoon Lee1, Hyun-Chool Shin1

  • 1Department of Intelligent Semiconductors, Soongsil University, Seoul 06978, Republic of Korea.

Entropy (Basel, Switzerland)
|July 29, 2025
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Summary
This summary is machine-generated.

This study introduces an enhanced activity estimation algorithm using 60 GHz Frequency-Modulated Continuous-Wave (FMCW) radar. The novel approach improves accuracy for non-contact activity monitoring by integrating distance and velocity data.

Keywords:
human activitieshuman motionradarradar signal processing

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Area of Science:

  • Engineering
  • Computer Science
  • Biomedical Engineering

Background:

  • Current activity measurement techniques (e.g., gas analyzers, activity trackers, camera systems) face challenges in accuracy, user convenience, and data privacy.
  • There is a need for advanced, non-invasive methods for precise activity monitoring.

Purpose of the Study:

  • To develop and validate an improved activity estimation algorithm utilizing 60 GHz Frequency-Modulated Continuous-Wave (FMCW) radar.
  • To enhance the accuracy and reliability of activity monitoring compared to existing methods.

Main Methods:

  • An algorithm was developed using 60 GHz FMCW radar, incorporating both range and velocity information for activity quantification.
  • Shannon entropy was employed to analyze spatial-temporal variations in radar range signatures.
  • Experimental validation was performed by comparing radar-based estimations with ground truth data from motion sensors.

Main Results:

  • The proposed FMCW radar algorithm demonstrated significantly improved accuracy in activity estimation.
  • The method achieved a lower Root Mean Square Error (RMSE) compared to conventional techniques.
  • A higher correlation between estimated activity levels and ground truth data was observed.

Conclusions:

  • 60 GHz FMCW radar offers a promising non-contact and unrestricted solution for activity monitoring.
  • The integration of distance and velocity data enhances measurement precision.
  • Future research should explore multi-channel radar systems for more sophisticated motion analysis.