Accurate fall detection and localization for elderly people based on neural network and energy-efficient wireless sensor network

SK Gharghan, SL Mohammed, A Al-Naji… - Energies, 2018 - mdpi.com
Falls are the main source of injury for elderly patients with epilepsy and Parkinson's disease.
Elderly people who carry battery powered health monitoring systems can move unhindered …

Deep transfer learning-based fall detection approach using IoMT-enabled thermal imaging-assisted pervasive surveillance and big health data

K Rezaee, MR Khosravi, N Neshat… - Journal of Circuits …, 2022 - World Scientific
People's need for healthcare capacity has become increasingly critical as the elderly
population continues to grow in most communities. Approximately 25–47% of seniors fall …

Intelligent elderly people fall detection based on modified deep learning deep transfer learning and IoT using thermal imaging-assisted pervasive surveillance

K Rezaee, MR Khosravi, MK Moghimi - … : Infrastructure, Algorithms and …, 2022 - Springer
Early detection of knee osteoarthritis and poor balance can decrease falls in the elderly.
Thus, automatic fall detection is an essential system for assuring the safety and health of the …

Optimal training configurations of a CNN-LSTM-based tracker for a fall frame detection system

NA Mohamed, MA Zulkifley, AA Ibrahim, M Aouache - Sensors, 2021 - mdpi.com
In recent years, there has been an immense amount of research into fall event detection.
Generally, a fall event is defined as a situation in which a person unintentionally drops down …

Pattern recognition neural classifier for fall detection in rock climbing

A Bonfitto, A Tonoli, S Feraco… - Proceedings of the …, 2019 - journals.sagepub.com
From an athlete's perspective, the identification of falls during rock climbing is of major
importance. It constitutes a solid performance indicator, but more importantly, it could be …

Efficient fall activity recognition by combining shape and motion features

A Iazzi, M Rziza, ROH Thami - Computational Visual Media, 2020 - Springer
This paper presents a vision-based system for recognizing when elderly adults fall. A fall is
characterized by shape deformation and high motion. We represent shape variation using …

Automatic fall detection using region-based convolutional neural network

GK Hader, MM Ben Ismail, O Bchir - International journal of injury …, 2020 - Taylor & Francis
The common classifiers usually used to detect fall incidents depend on building and
maintaining complex feature extraction for accurate machine learning tasks. However, these …

Falling detection research based on elderly behavior infrared video image contours ellipse fitting

X Cao, H Zhang - International Journal of Pattern Recognition and …, 2021 - World Scientific
Throughout the world, the proportion of the elders in the total population is increasing
dramatically, and home-based care has become the most important form of old-age care …

[PDF][PDF] Fall detection using the histogram of oriented gradients and decision-based fusion

MM Ismail, AA Ben, O Bchir - J. Comput. Sci, 2020 - academia.edu
As the number of fall incidents among elderly people and patients are continuously growing,
researches boosted their researches to propose efficient automatic fall detection systems. In …

A fall posture classification and recognition method based on wavelet packet transform and support vector machine

Q Zhang, J Tao, Q Sun, X Zeng, M Dehmer, Q Zhou - Applied Sciences, 2021 - mdpi.com
An accidental fall seriously threatens the health and safety of the elderly. The injuries
caused by a fall have a lot to do with the different postures during the fall. Therefore …