Radar-Based Fall Detection: A Survey
S. Hu, S. Cao, N. Toosizadeh, J. Barton, M. G. Hector, M. J. Fain
IEEE Robotics and Automation Magazine, 2024 , Vol. 31 (3) , pp. 170-185
Abstract
A comprehensive survey of radar-based fall detection systems covering sensor technologies, signal processing techniques, machine learning approaches, and real-world deployment considerations. Emphasizes the effectiveness of Micro-Doppler, Range-Doppler, and Range-Doppler-Angle techniques in ensuring privacy and detecting falls through obstructions.
Citation
S. Hu, S. Cao, N. Toosizadeh, J. Barton, M. G. Hector, M. J. Fain. "Radar-Based Fall Detection: A Survey." IEEE Robotics and Automation Magazine 31(3): 170-185, 2024.
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Details
- Year
- 2024
- Published In
- IEEE Robotics and Automation Magazine
- Volume
- 31
- Issue
- 3
- Pages
- 170-185