Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review
As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
Detecting elderly behaviors based on deep learning for healthcare: Recent advances, methods, real-world applications and challenges
Machine learning has been applied in healthcare domain for the development of smart
devices to improve the life of the elderly persons in the society. Taking care of elderly person …
devices to improve the life of the elderly persons in the society. Taking care of elderly person …
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 …
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
Gait disabilities are among the most frequent impairments worldwide. Their treatment
increasingly relies on rehabilitation therapies, in which smart walkers are being introduced …
increasingly relies on rehabilitation therapies, in which smart walkers are being introduced …
Real-time fall detection on road using transfer learning-based granulated Bi-LSTM
In this study, a new deep learning-based model, namely, transfer learning-based granulated
Bi-LSTM (TLG-LSTM) is developed for fall detection on roads. The TLG-LSTM can handle …
Bi-LSTM (TLG-LSTM) is developed for fall detection on roads. The TLG-LSTM can handle …
Anti-Fixed-Interference Fall Detection Based on Doppler-Time-Range Maps Using Millimeter-Wave Radar
Z Ma, X Wu, X Zhang, D Yao, W Deng - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
With the growth of the number of elderly people, fall detection based on radio frequency
signals for those vulnerable groups emerged. In radar-based fall detection methods …
signals for those vulnerable groups emerged. In radar-based fall detection methods …
Advancing Fall Detection in an Autonomous Bus-Examination of LSTM Technique
With the advent of autonomous public transportation, ensuring passenger safety, particularly
in the context of fall detection, has become increasingly important. This study introduces a …
in the context of fall detection, has become increasingly important. This study introduces a …
Quantitative Assessment of Fall Risk in the Elderly Through Fusion of Millimeter-Wave Radar Imaging and Trajectory Features
W Wang, Y Gong, H Zhang, X Yuan, Y Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
The aging process and chronic diseases can lead to functional decline in older adults,
particularly with significant decreases in balance ability, which greatly increases the risk of …
particularly with significant decreases in balance ability, which greatly increases the risk of …
[PDF][PDF] Design and build an airbag system for elderly fall protection using the MPU6050 sensor module
The use of technology has a significant impact to reduce the consequences of accidents.
Sensors, small components that detect interactions experienced by various components …
Sensors, small components that detect interactions experienced by various components …
Research issues & state of the art challenges in event detection
MN Saadat, H Kabir, M Shuaib… - 2021 15th …, 2021 - ieeexplore.ieee.org
Event detection is a cutting-edge problem in video image processing which is not that
straight forward to solve. Hence, we perform a thorough search for state of the art in solving …
straight forward to solve. Hence, we perform a thorough search for state of the art in solving …