Fall detection and monitoring using machine learning: a comparative study.
The detection of falls has emerged as an important topic for the public to discuss because of the prevalence and severity of unintentional falls, particularly among the elderly. A Fall Detection System, known as an FDS, is a system that gathers data from wearable Internet-of-Things (IoT) device and...
Saved in:
Main Authors: | M. Edeib, Shaima R., Dziyauddin, Rudzidatul Akmam, Muhd. Amir, Nur Izdihar |
---|---|
Format: | Article |
Language: | English |
Published: |
Science and Information Organization
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/105369/1/ShaimaRMEdeib2023_FallDetectionandMonitoringUsingMachineLearning.pdf http://eprints.utm.my/105369/ http://dx.doi.org/10.14569/IJACSA.2023.0140284 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review on intrusion detection system based on the goal of the detection system
by: Khaleel, Mohammad Khamees, et al.
Published: (2018) -
Classification of JPEG files by using extreme learning machine
by: Ali, Rabei Raad, et al.
Published: (2018) -
Comparing the effects of gamification to user engagement in stress management application.
by: Haris Fadzillah, Nurhafiyah Hazwani, et al.
Published: (2023) -
Monitoring oriented agile based web applications development methodology for small software firms in Jordan
by: Altarawneh, Moath Husni Ahmad
Published: (2016) -
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing.
by: Zhou, Jincheng, et al.
Published: (2023)