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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 …
An event-triggered machine learning approach for accelerometer-based fall detection
The fixed-size non-overlap** sliding window (FNSW) and fixed-size overlap** sliding
window (FOSW) approaches are the most commonly used data-segmentation techniques in …
window (FOSW) approaches are the most commonly used data-segmentation techniques in …
Embedded real-time fall detection with deep learning on wearable devices
Unintentional falls are the leading cause of fatal injuries and nonfatal trauma among older
adults. An automated monitoring system that detects occurring falls and issues remote …
adults. An automated monitoring system that detects occurring falls and issues remote …
Accident detection system for bicycle riders
Bicycle riders are exposed to accident injuries such as head trauma. The risk of these riders'
injuries is higher compared to the risk of injuries for motorists. Crashes, riders' errors, and …
injuries is higher compared to the risk of injuries for motorists. Crashes, riders' errors, and …
Embedding recurrent neural networks in wearable systems for real-time fall detection
Accidental falls are the preminent cause of fatal injuries and the most common cause of
nonfatal trauma-related hospital admissions among elderly adults. An automated monitoring …
nonfatal trauma-related hospital admissions among elderly adults. An automated monitoring …
Window-size impact on detection rate of wearable-sensor-based fall detection using supervised machine learning
IPES Putra, R Vesilo - 2017 IEEE life sciences conference (LSC …, 2017 - ieeexplore.ieee.org
For a supervised machine-learning based fall-detection approach, data segmentation is
needed to split the data sequence into several segments. Then features are extracted from …
needed to split the data sequence into several segments. Then features are extracted from …
[HTML][HTML] A lightweight subgraph-based deep learning approach for fall recognition
Z Zhao, L Zhang, H Shang - Sensors, 2022 - mdpi.com
Falls pose a great danger to social development, especially to the elderly population. When
a fall occurs, the body's center of gravity moves from a high position to a low position, and …
a fall occurs, the body's center of gravity moves from a high position to a low position, and …