Deep learning based systems developed for fall detection: a review

MM Islam, O Tayan, MR Islam, MS Islam… - IEEE …, 2020 - ieeexplore.ieee.org
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …

A survey of IoT-based fall detection for aiding elderly care: sensors, methods, challenges and future trends

ME Karar, HI Shehata, O Reyad - Applied Sciences, 2022 - mdpi.com
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

[HTML][HTML] Towards effective detection of elderly falls with CNN-LSTM neural networks

E García, M Villar, M Fáñez, JR Villar, E de la Cal… - Neurocomputing, 2022 - Elsevier
Fall detection is a very challenging task that has a clear impact in the autonomous living of
the elderly individuals: suffering a fall with no support increases the fears of the elderly …

Semantic segmentation-based system for fall detection and post-fall posture classification

S Mobsite, N Alaoui, M Boulmalf, M Ghogho - Engineering Applications of …, 2023 - Elsevier
Fall is one of the most critical issues faced by elders in their daily life. The consequences of
falls range from fatal injuries, severe injuries to no injuries. Therefore, an effective system for …

IR-UWB sensor based fall detection method using CNN algorithm

T Han, W Kang, G Choi - Sensors, 2020 - mdpi.com
Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary
damage from falls can lead to death. As such, fall detection is a crucial topic. However, due …

A study of the use of gyroscope measurements in wearable fall detection systems

E Casilari, M Álvarez-Marco, F García-Lagos - Symmetry, 2020 - mdpi.com
Due to the serious impact of falls on the quality of life of the elderly and on the economical
sustainability of health systems, the study of new monitoring systems capable of …

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 …

A comprehensive comparison of accuracy and practicality of different types of algorithms for pre-impact fall detection using both young and old adults

X Yu, B Koo, J Jang, Y Kim, S Xiong - Measurement, 2022 - Elsevier
This study aims to comprehensively compare the accuracy and practicality of three different
types of algorithms for pre-impact fall detection using both young and old subjects …

Improving the results of the earned value management technique using artificial neural networks in construction projects

A Balali, A Valipour, J Antucheviciene, J Šaparauskas - Symmetry, 2020 - mdpi.com
The cost, time and scope of a construction project are key parameters for its success. Thus,
predicting these indices is indispensable. Correct and accurate prediction of cost throughout …

Fall detection based on fused saliency maps

H Li, C Li, Y Ding - Multimedia Tools and Applications, 2021 - Springer
Fall detection is drawing more attention from both academia and industry. The human body
occupies smaller space relative to the background in images, so the complex background …