Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer
The consequences of a fall on an elderly person can be reduced if the accident is attended by medical personnel within the first hour. Independent elderly people often stay alone for long periods of time, being in more risk if they suffer a fall. The literature offers several approaches for detectin...
Main Authors: | Angela Sucerquia, José David López, Jesús Francisco Vargas-Bonilla |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/4/1101 |
Similar Items
-
SisFall: A Fall and Movement Dataset
by: Angela Sucerquia, et al.
Published: (2017-01-01) -
Elderly Fall Detection with an Accelerometer Using Lightweight Neural Networks
by: Gaojing Wang, et al.
Published: (2019-11-01) -
Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls
by: Luca Palmerini, et al.
Published: (2020-11-01) -
Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning
by: Turke Althobaiti, et al.
Published: (2020-07-01) -
Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements
by: Chih-Lung Lin, et al.
Published: (2020-10-01)