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 …
consequently leading to both physical and psychological harm. A wearable-based fall …
An elderly fall detection method based on federated learning and extreme learning machine (fed-elm)
Z Yu, J Liu, M Yang, Y Cheng, J Hu, X Li - IEEE Access, 2022 - ieeexplore.ieee.org
The lack of fall data for the elderly is a challenging problem in the fall detection community.
To date, the fall and activities of daily life simulated by young people have been used in …
To date, the fall and activities of daily life simulated by young people have been used in …
Efficient fall detection in four directions based on smart insoles and RDAE-LSTM model
Efficient fall detection is significant for the elderly, persons with motor symptoms, and people
who perform risky actions, with four types of falling postures. However, most studies focused …
who perform risky actions, with four types of falling postures. However, most studies focused …
A novel fall detection framework with age estimation based on cloud-fog computing architecture
Falls are one of the main causes of injuries and even fatalities among the elderly. However,
few existing research on fall detection focuses on the supervision of the elderly …
few existing research on fall detection focuses on the supervision of the elderly …
Wearable Smart Sensing and UWB System for Fall Detection in AAL Environments
MJ Rodrigues, O Postolache… - 2023 IEEE Sensors …, 2023 - ieeexplore.ieee.org
The need for developing fall detecting systems has become increasingly important, since
older adults require a great care, especially in this matter. Falls are one of the most common …
older adults require a great care, especially in this matter. Falls are one of the most common …
A low-power fall detection method based on optimized TBM and RNN
T Xu, J Liu - Digital Signal Processing, 2022 - Elsevier
Falls are one of the most common accidental injuries among elderly, which would cause
injuries such as bruises and fracture. The fall detection system can reduce injuries by …
injuries such as bruises and fracture. The fall detection system can reduce injuries by …
[PDF][PDF] Application for Detecting Falls for Elderly Persons through Internet of Things Combined with Pulse Sensor.
KJ Hu, CW Chang, YS Chang - Sensors & Materials, 2023 - sensors.myu-group.co.jp
The World Health Organization predicts that, by 2050, 400 million people will be aged 80
years or more. In Japan and Taiwan, many elderly persons have health problems but live …
years or more. In Japan and Taiwan, many elderly persons have health problems but live …
Fall detection method based on TBM and SVM
T Xu, J Liu, M Geng - 2022 41st Chinese Control Conference …, 2022 - ieeexplore.ieee.org
In response to the low power consumption and high accuracy requirements of wearable fall
detection technology, a fall detection method based on threshold-based method (TBM) and …
detection technology, a fall detection method based on threshold-based method (TBM) and …
Vision-Based Fall Detection Using Convolution Neural Network and Long Short-Term Memory
P Sitpasert, W Sa-Ngiamvibool - 2023 - 202.28.34.124
The dissertation presents a method of vision-based model for detecting and classifying
human falls in video sequences. We used BlazePose to detect and extract 33 body …
human falls in video sequences. We used BlazePose to detect and extract 33 body …
Arduino Based Iot Device for Septuagenarian Fall Detection
N Jayashree, B Pavithra, S Monika… - … on Emerging Trends …, 2020 - ieeexplore.ieee.org
Arduino based IOT device for septuagenarian fall detection has developed especially for the
elder peoples who are staying alone in home. If the old age peoples felt down in most of the …
elder peoples who are staying alone in home. If the old age peoples felt down in most of the …