Elderly fall detection systems: A literature survey
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …
growing aging population, there is an urgent need for the development of fall detection …
Human activity recognition using inertial sensors in a smartphone: An overview
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …
processing, portability, and power of sensing, have greatly changed people's lives. Today …
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
A survey on recent advances in wearable fall detection systems
With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …
beings has increased to more than 80 yrs. As a result, the demographic old‐age …
Human activity recognition with accelerometer and gyroscope: A data fusion approach
M Webber, RF Rojas - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper compares the three levels of data fusion with the goal of determining the optimal
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
social sensing, and health sensing, have tremendously improved our capability to observe …
Possible life saver: A review on human fall detection technology
Among humans, falls are a serious health problem causing severe injuries and even death
for the elderly population. Besides, falls are also a major safety threat to bikers, skiers …
for the elderly population. Besides, falls are also a major safety threat to bikers, skiers …
Fall detection system using millimeter-wave radar based on neural network and information fusion
Y Yao, C Liu, H Zhang, B Yan, P Jian… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Falls are fatal for the elderly, and timely detection after falls is crucial. As a contactless
device, the radar sensor can monitor users' falls with the advantage of not revealing their …
device, the radar sensor can monitor users' falls with the advantage of not revealing their …
Accelerometer-based fall detection using machine learning: Training and testing on real-world falls
Falling is a significant health problem. Fall detection, to alert for medical attention, has been
gaining increasing attention. Still, most of the existing studies use falls simulated in a …
gaining increasing attention. Still, most of the existing studies use falls simulated in a …
Comparison of different sets of features for human activity recognition by wearable sensors
Human Activity Recognition (HAR) refers to an emerging area of interest for medical,
military, and security applications. However, the identification of the features to be used for …
military, and security applications. However, the identification of the features to be used for …