Razali, Hidayatusherlina and Abd. Rashid, Nur Emileen and Nasarudin, Muhammad Nazrin Farhan and Ismail, Nor Najwa and Ismail Khan, Zuhani and Enche Ab Rahim, Siti Amalina
(2024)
A review: radar-based fall detection sensor / Hidayatusherlina Razali ... [et al.].
Journal of Electrical and Electronic Systems Research (JEESR), 24 (1): 1.
pp. 1-11.
ISSN 1985-5389
Abstract
Age-related physical changes make 60-year-olds more susceptible to injury and mortality. Fall detection sensors come in many varieties. However, the radar system is the most reliable
detection method since it avoids the downsides of other sensors, such as discomfort, heavy computational processing, and privacy problems. Radar-based sensors can accurately capture Doppler frequency variations from human motion by utilising time-frequency representations and classification algorithms. Fall recognition involves steps: sensor type, data pre-processing, and data classification. This study examines radar's use in fall detection and how fall detection systems can enhance people's lives.
Metadata
Item Type: | Article |
---|---|
Creators: | Creators Email / ID Num. Razali, Hidayatusherlina UNSPECIFIED Abd. Rashid, Nur Emileen emileen98@uitm.edu.my Nasarudin, Muhammad Nazrin Farhan UNSPECIFIED Ismail, Nor Najwa UNSPECIFIED Ismail Khan, Zuhani UNSPECIFIED Enche Ab Rahim, Siti Amalina amalinaabr@uitm.edu.my |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Apparatus and materials > Detectors. Sensors. Sensor networks |
Divisions: | Universiti Teknologi MARA, Shah Alam > College of Engineering |
Journal or Publication Title: | Journal of Electrical and Electronic Systems Research (JEESR) |
UiTM Journal Collections: | UiTM Journal > Journal of Electrical and Electronic Systems Research (JEESR) |
ISSN: | 1985-5389 |
Volume: | 24 |
Number: | 1 |
Page Range: | pp. 1-11 |
Keywords: | Detection, Elderly, Fall, Radar, Sensor, Signal processing |
Date: | April 2024 |
URI: | https://ir.uitm.edu.my/id/eprint/94732 |