Human activities detection and classification based on micro-Doppler signatures near the baseline of forward scattering radar

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...

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Bibliographic Details
Main Authors: Alnaeb, Ali, Raja Abdullah, Raja Syamsul Azmir, Salah, Asem Ahmad Mohamad, Sali, Aduwati, Abdul Rashid, Nur Emileen, Ibrahim, Idnin Pasya
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Online Access:http://psasir.upm.edu.my/id/eprint/68213/
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

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