A machine learning based fall detection for elderly people with neurodegenerative disorders

N Nahar, MS Hossain, K Andersson - International Conference on Brain …, 2020 - Springer
Fall is one of the most serious clinical problems faced by the elderly people. Elder people
with neurodegenerative disorders like Parkinson disease often fall. This leads to the …

Machine learning based early fall detection for elderly people with neurological disorder using multimodal data fusion

M Nahiduzzaman, M Tasnim, NT Newaz… - … Conference on Brain …, 2020 - Springer
Fall is deemed to be one of the critical problems for the elderly patient having neurological
disorders as it may cause injury or death. It turns to be a public health concern and attracts …

Fall detection for elderly person care using convolutional neural networks

X Li, T Pang, W Liu, T Wang - 2017 10th international congress …, 2017 - ieeexplore.ieee.org
Falls are one of the major leading causes of mortality for elderly people living alone at home,
which can lead to severe injuries. Fall detection is the most important health care issue for …

Support vector machine classifiers show high generalizability in automatic fall detection in older adults

J Alizadeh, M Bogdan, J Classen, C Fricke - Sensors, 2021 - mdpi.com
Falls are a major cause of morbidity and mortality in neurological disorders. Technical
means of detecting falls are of high interest as they enable rapid notification of caregivers …

Wearable sensor and machine learning model-based fall detection system for safety of elders and movement disorders

AS Pillai, S Badgujar, S Krishnamoorthy - Proceedings of Academia …, 2022 - Springer
Due to different working culture of people, elderly people's health gets neglected as they live
alone at home. With the rising population, there is a pressing demand for the evolution of fall …

Fall detection in the elderly using different machine learning algorithms with optimal window size

F Kausar, M Mesbah, W Iqbal, A Ahmad… - Mobile Networks and …, 2024 - Springer
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 …

An efficient machine learning-based elderly fall detection algorithm

F Hussain, MB Umair, M Ehatisham-ul-Haq… - arXiv preprint arXiv …, 2019 - arxiv.org
Falling is a commonly occurring mishap with elderly people, which may cause serious
injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects of …

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 …

A comprehensive survey of various approaches on human fall detection for elderly people

R Parmar, S Trapasiya - Wireless Personal Communications, 2022 - Springer
With the advancement in the healthcare and medicine sector, now a day's average life span
of humans has increased. Due to an increase in average life expectancy, the demographic …

Fall detection system for elderly people using IoT and big data

D Yacchirema, JS De Puga, C Palau… - Procedia computer science, 2018 - Elsevier
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elder and a significant decrease in his …