Development of a User-Adaptable Human Fall Detection Based on Fall Risk Levels Using Depth Sensor [PDF]
Sensors, 2018 Unintentional falls are a major public health concern for many communities, especially with aging populations. There are various approaches used to classify human activities for fall detection. Related studies have employed wearable, non-invasive sensors,
Yoosuf Nizam +2 more
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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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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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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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Classification of Indoor Human Fall Events Using Deep Learning [PDF]
Entropy, 2021 Human fall identification can play a significant role in generating sensor based alarm systems, assisting physical therapists not only to reduce after fall effects but also to save human lives.
Arifa Sultana +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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Dataset for human fall recognition in an uncontrolled environment [PDF]
Data in Brief, 2022 This article presents a dataset (CAUCAFall) with ten subjects, which simulates five types of falls and five types of activities of daily living (ADLs). Specifically, the data include forward falls, backward falls, lateral falls left, lateral falls right,
José Camilo Eraso Guerrero +3 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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Highly Portable, Sensor-Based System for Human Fall Monitoring [PDF]
Sensors, 2017 Falls are a very dangerous situation especially among elderly people, because they may lead to fractures, concussion, and other injuries. Without timely rescue, falls may even endanger their lives.
Aihua Mao, Xuedong Ma, Yinan He, Jie Luo
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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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