Development of a wearable human fall detection system
Fall contributes for over 80% of injury-related hospitalisation, especially amongst the elderly. A long lie due to a fall may lead to other health complications if medical intervention does not take place in a timely manner. Hence, a fall detection system that employs a wearable detector is importan...
Saved in:
Main Authors: | Chua, Kean Hong, Sai, Siong Jun, Chan, Chi Yen, Kamsani, Noor Ain, Che Soh, Azura, Raja Ahmad, Raja Mohd Kamil |
---|---|
Format: | Article |
Published: |
Malaysia Board of Technologists (MBOT)
2022
|
Online Access: | http://psasir.upm.edu.my/id/eprint/100603/ https://jetia.mbot.org.my/index.php/jetia/article/view/14 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of fall detection and activity recognition using threshold based method and neural network
by: Sai, Siong Jun, et al.
Published: (2020) -
A WEARABLE DEVICE TO DETECT FALL
by: ROXSHEN, NASRUN GAI
Published: (2020) -
Internet of Things (IoT) Fall Detection using Wearable Sensor
by: Loh Mei, Yee, et al.
Published: (2020) -
Wearable smart phone sensor fall detection system
by: Habaebi, Mohamed Hadi, et al.
Published: (2022) -
Development of wearable human fall detection system using multilayer perceptron neural network
by: Kerdegari, Hamideh, et al.
Published: (2013)