Deep learning-based near-fall detection algorithm for fall risk monitoring system using a single inertial measurement unit
Proactively detecting falls and preventing injuries are among the primary keys to a healthy
life for the elderly. Near-fall remote monitoring in daily life could provide key information to …
life for the elderly. Near-fall remote monitoring in daily life could provide key information to …
A real‐time patient monitoring framework for fall detection
Fall detection is a major problem in the healthcare department. Elderly people are more
prone to fall than others. There are more than 50% of injury‐related hospitalizations in …
prone to fall than others. There are more than 50% of injury‐related hospitalizations in …
A novel hybrid deep neural network to predict pre-impact fall for older people based on wearable inertial sensors
Falls in the elderly is a major public health concern due to its high prevalence, serious
consequences and heavy burden on the society. Many falls in older people happen within a …
consequences and heavy burden on the society. Many falls in older people happen within a …
Proposing posture recognition system combining MobilenetV2 and LSTM for medical surveillance
PN Huu, NN Thi, TP Ngoc - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes a posture recognition system that can be applied for medical
surveillance. The proposed method estimates human posture using mobilenetV2 and long …
surveillance. The proposed method estimates human posture using mobilenetV2 and long …
Comparison of four machine learning algorithms for a pre-impact fall detection system
D Wang, Z Li - Medical & Biological Engineering & Computing, 2023 - Springer
In recent years, real-time health monitoring using wearable sensors has been an active area
of research. This paper presents an efficient and low-cost fall detection system based on a …
of research. This paper presents an efficient and low-cost fall detection system based on a …
Enhanced algorithm for the detection of preimpact fall for wearable airbags
Fall-related injury is a common cause of mortality among the elderly. Hip fractures are
especially dangerous and can even be fatal. In this study, a threshold-based preimpact fall …
especially dangerous and can even be fatal. In this study, a threshold-based preimpact fall …
Detection of pre-impact falls from heights using an inertial measurement unit sensor
Many safety accidents can occur in industrial sites. Among them, falls from heights (FFHs)
are the most frequent accidents and have the highest fatality rate. Therefore, some existing …
are the most frequent accidents and have the highest fatality rate. Therefore, some existing …
A flexible turning and sensing system for pressure ulcers prevention
Y Zhang, X Zou, B Zhang, Y Han, S Wang, T Liu… - Electronics, 2021 - mdpi.com
Pressure ulcers (PU) are one of the most frequent hazards of long-term bedridden patients.
With the continuous increase of aging, the number of long-term bedridden disabled and …
With the continuous increase of aging, the number of long-term bedridden disabled and …
Soft continuum robot airbag integrated with passive walker for fall mitigation
We describe the design and prototype development of a soft continuum robotic airbag
system, to be deployed from a passive walker. The system can deploy in multiple …
system, to be deployed from a passive walker. The system can deploy in multiple …
Analyzing and Comparing Deep Learning models on a ARM 32 bits microcontroller for pre-impact fall detection
A Benoit, C Escriba, D Gauchard, A Esteve… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Automated pre-impact fall detection in real-time using raw data acquired from wearable
sensors, such as triaxial accelerometers, remains an open research problem in the context …
sensors, such as triaxial accelerometers, remains an open research problem in the context …