A review of wearable sensors based fall-related recognition systems

J Liu, X Li, S Huang, R Chao, Z Cao, S Wang… - … Applications of Artificial …, 2023 - Elsevier
Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …

The role of wearable devices in chronic disease monitoring and patient care: A comprehensive review

EA Jafleh, FA Alnaqbi, HA Almaeeni, S Faqeeh… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Wearable health devices are becoming vital in chronic disease management because they
offer real-time monitoring and personalized care. This review explores their effectiveness …

A practical wearable fall detection system based on tiny convolutional neural networks

X Yu, S Park, D Kim, E Kim, J Kim, W Kim, Y An… - … Signal Processing and …, 2023 - Elsevier
Falls are a major public health problem in a rapidly aging society due to their high
prevalence and severe consequences among the older population. Therefore, automatic fall …

Design of inception with deep convolutional neural network based fall detection and classification model

K Durga Bhavani, M Ferni Ukrit - Multimedia Tools and Applications, 2024 - Springer
Falling is the most serious health problem for elderly population resulting in serious injuries,
if not treated quickly. As the world population gets increased, the number of serious falls and …

Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models

M Jaén-Vargas, KMR Leiva, F Fernandes… - PeerJ Computer …, 2022 - peerj.com
Deep learning (DL) models are very useful for human activity recognition (HAR); these
methods present better accuracy for HAR when compared to traditional, among other …

A deep convolutional neural network-xgb for direction and severity aware fall detection and activity recognition

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Sensors, 2022 - mdpi.com
Activity and Fall detection have been a topic of keen interest in the field of ambient assisted
living system research. Such systems make use of different sensing mechanisms to monitor …

Sensor-based fall detection using a combination model of a temporal convolutional network and a gated recurrent unit

Y Li, Z Zuo, J Pan - Future Generation Computer Systems, 2023 - Elsevier
Due to the serious problem of the world's aging population and the harm caused by
unintentional falls to elderly individuals, the question of how to precisely identify falls has …

Fall detection from audios with audio transformers

P Kaur, Q Wang, W Shi - Smart Health, 2022 - Elsevier
Fall detection for the elderly is a well-researched problem with several proposed solutions,
including wearable and non-wearable techniques. While the existing techniques have …

Synergistic Integration of Skeletal Kinematic Features for Vision-Based Fall Detection

AR Inturi, VM Manikandan, MN Kumar, S Wang… - Sensors, 2023 - mdpi.com
According to the World Health Organisation, falling is a major health problem with potentially
fatal implications. Each year, thousands of people die as a result of falls, with seniors making …

A review of commercial and non-commercial wearables devices for monitoring motor impairments caused by neurodegenerative diseases

G Prieto-Avalos, LN Sanchez-Morales… - Biosensors, 2022 - mdpi.com
Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The
effects of NDDs, including irreversible motor impairments, have an impact not only on …