A Lightweight Human Fall Detection Network [PDF]
Sensors, 2023 The rising issue of an aging population has intensified the focus on the health concerns of the elderly. Among these concerns, falls have emerged as a predominant health threat for this demographic.
Xi Kan +3 more
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Human Fall Detection Using 3D Multi-Stream Convolutional Neural Networks with Fusion [PDF]
Diagnostics, 2022 Human falls, especially for elderly people, can cause serious injuries that might lead to permanent disability. Approximately 20–30% of the aged people in the United States who experienced fall accidents suffer from head trauma, injuries, or bruises ...
Thamer Alanazi, Ghulam Muhammad
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Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks [PDF]
Sensors, 2019 Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to health systems and indirectly to society productivity.
Guto Leoni Santos +5 more
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GMDCSA-24: A dataset for human fall detection in videos [PDF]
Data in BriefThe population of older adults (elders) is increasing at a breakneck pace worldwide. This surge presents a significant challenge in providing adequate care for elders due to the scarcity of human caregivers.
Ekram Alam +4 more
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Human Fall Detection Based on Body Posture Spatio-Temporal Evolution [PDF]
Sensors, 2020 Abnormal falls in public places have significant safety hazards and can easily lead to serious consequences, such as trampling by people. Vision-driven fall event detection has the huge advantage of being non-invasive. However, in actual scenes, the fall
Jin Zhang, Cheng Wu, Yiming Wang
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Using Temporal Covariance of Motion and Geometric Features via Boosting for Human Fall Detection [PDF]
Sensors, 2018 Fall induced damages are serious incidences for aged as well as young persons. A real-time automatic and accurate fall detection system can play a vital role in timely medication care which will ultimately help to decrease the damages and complications ...
Syed Farooq Ali +4 more
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors [PDF]
SensorsFeature selection (FS) is a key process in many pattern-recognition tasks, which reduces dimensionality by eliminating redundant or irrelevant features.
Haolin Cao +3 more
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Fall Detection and Activity Recognition Using Human Skeleton Features [PDF]
IEEE Access, 2021 Human activity recognition has attracted the attention of researchers around the world. This is an interesting problem that can be addressed in different ways. Many approaches have been presented during the last years.
Heilym Ramirez +5 more
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An Integrated Vision-Based Approach for Efficient Human Fall Detection in a Home Environment
IEEE Access, 2019 Falls are an important healthcare problem for vulnerable persons like seniors. Response to potential emergencies can be fastened timely detection and classification of falls.
Fouzi Harrou +3 more
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A hybrid human fall detection method based on modified YOLOv8s and AlphaPose [PDF]
Scientific ReportsTo address the challenges of low detection accuracy of small objects and weak applicability of the multi-person fall action recognition applications, we propose a hybrid fall detection method based on modified YOLOv8s and AlphaPose called HFDMIA-Pose ...
Lei Liu +3 more
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