Human activities detection and classification based on micro-Doppler signatures near the baseline of forward scattering radar
Fall poses a major problem, which raises the concern of elderly populations aged 65 and above in all over the world. In this paper, we propose Forward Scattering Radar system as a Doppler sensor in distinguishing features of fall events from non-fall activities. The signal features of joint time-fre...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68213/1/Human%20activities%20detection%20and%20classification%20based%20on%20micro-Doppler%20signatures%20near%20the%20baseline%20of%20forward%20scattering%20radar.pdf |