Latest research trends in fall detection and prevention using machine learning: A systematic review
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …
growing percentage of people of old age requires urgent development of fall detection and …
A survey on recent advances in wearable fall detection systems
A Ramachandran, A Karuppiah - BioMed research international, 2020 - Wiley Online Library
With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …
beings has increased to more than 80 yrs. As a result, the demographic old‐age …
An IoT based device-type invariant fall detection system
S Nooruddin, MM Islam, FA Sharna - Internet of Things, 2020 - Elsevier
As the world elderly population is increasing rapidly, the use of technology for the
development of accurate and fast automatic fall detection systems has become a necessity …
development of accurate and fast automatic fall detection systems has become a necessity …
[HTML][HTML] Application of ensemble RNN deep neural network to the fall detection through IoT environment
M Farsi - Alexandria Engineering Journal, 2021 - Elsevier
The emerging of new models in machine learning enhances the performance of algorithms
proposed to address several challenging tasks such as object recognition, classification and …
proposed to address several challenging tasks such as object recognition, classification and …
Fall detection in the elderly using different machine learning algorithms with optimal window size
Mobility deteriorates with age, and falls become more frequent, resulting in injuries or even
death. However, many such injuries and deaths can be prevented, resulting in financial …
death. However, many such injuries and deaths can be prevented, resulting in financial …
Virtual reality in training artificial intelligence-based systems: a case study of fall detection
Artificial Intelligent (AI) systems generally require training data of sufficient quantity and
appropriate quality to perform efficiently. However, in many areas, such training data is …
appropriate quality to perform efficiently. However, in many areas, such training data is …
A Noncontact Fall Detection Method for Bedside Application With a MEMS Infrared Sensor and a Radar Sensor
C He, S Liu, G Zhong, H Wu, L Cheng… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of economy, science, and technology, the aging issues become
more and more serious. People aged above 65 have a risk of 28%–35% to fall. Among …
more and more serious. People aged above 65 have a risk of 28%–35% to fall. Among …
An approach to enhance fall detection using machine learning classifier
M Soni, S Chauhan, B Bajpai… - 2020 12th International …, 2020 - ieeexplore.ieee.org
Environmental protection is a concept that uses information and communication technology
(ICT) for enhancing people's daily lives. Human fall detection is an effective environmental …
(ICT) for enhancing people's daily lives. Human fall detection is an effective environmental …
Machine learning based wearable sensor module for human fall detection-a fully functional solution
J Anudeep, SK Vasudevan… - International Journal of …, 2024 - inderscienceonline.com
This paper addresses a potential concern faced by the majority of aged ones left
unaccompanied at home. Any untoward fall owing to poor health conditions or slippery …
unaccompanied at home. Any untoward fall owing to poor health conditions or slippery …
The evolution of frailty assessment using inertial measurement sensor‐based gait parameter measurements: A detailed analysis
A Amjad, S Qaiser, M Błaszczyszyn… - … Reviews: Data Mining …, 2024 - Wiley Online Library
Frailty is a significant issue in geriatric health, may cause adverse effects such as falls,
delirium, weight loss, or physical decline. Over time, various methods have been developed …
delirium, weight loss, or physical decline. Over time, various methods have been developed …