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September 16, 2025Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

GR-Fall: A Fall Detection System with Gait Recognition for Indoor Environments Using SISO mmWave Radar

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Authors

CMChengzhen MengCHChenming HeDWDequan Wang

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Overview

Observational analysis focuses on integrating gait recognition in a fall detection system using mmWave radar, indicating significant improvement in precision and recall rates.

Key Points

  • GR-Fall achieved an impressive 98.1% precision and 98.7% recall in detecting falls among the elderly, enhancing safety.
  • Utilizing data from 33 volunteers across four environments, the study collected 5,799 instances for robust evaluation.
  • The methodology centers around single-input, single-output mmWave radar, reducing device costs while maintaining high sensitivity.
  • This innovative system may enable timely alerts, reducing unnecessary alarms and strain on community resources.

Cite This Study

Meng et al. (2025) studied this question.

synapsesocial.com/papers/68d4506b31b076d99fa577aehttps://doi.org/10.1145/3749471
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