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

• 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/68213/1/Human%20activities%20detection%20and%20classification%20based%20on%20micro-Doppler%20signatures%20near%20the%20baseline%20of%20forward%20scattering%20radar.pdf; http://psasir.upm.edu.my/id/eprint/68213/

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...