Results 11 to 20 of about 1,144,100 (291)
Fall Detection with Wearable Sensors--Safe (Smart Fall Detection) [PDF]
2011 Seventh International Conference on Intelligent Environments, 2011 The high rate of falls incidence among the elderly calls for the development of reliable and robust fall detection systems. A number of such systems have been proposed, with claims of fall detection accuracy of over 90% based on accelerometers and gyroscopes.
Olukunle Ojetola +2 more
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Fall Detection Analysis Using a Real Fall Dataset [PDF]
, 2018 MINECO-TIN2017-84804-R, MICINN, Ministerio de Ciencia e Innovación; MINECO-TIN2014-56967-R, MICINN, Ministerio de Ciencia e ...
Khojasteh, S. B. +4 more
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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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Fall Detection in Elderly Care System Based on Group of Pictures
Vietnam Journal of Computer Science, 2021 Fall detection is a serious problem in elder people. Constant inspection is important for this fall identification. Currently, numerous methods associated with fall detection are a significant area of research for safety purposes and for the healthcare ...
S. Sowmyayani, V. Murugan, J. Kavitha
doaj +1 more source
The Methods of Fall Detection: A Literature Review
Sensors, 2023 Fall Detection Systems (FDS) are automated systems designed to detect falls experienced by older adults or individuals. Early or real-time detection of falls may reduce the risk of major problems.
Nishat Tasnim Newaz, Eisuke Hanada
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Comprehensive Review of Vision-Based Fall Detection Systems
Sensors, 2021 Vision-based fall detection systems have experienced fast development over the last years. To determine the course of its evolution and help new researchers, the main audience of this paper, a comprehensive revision of all published articles in the main ...
Jesús Gutiérrez +2 more
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International Research Journal of Computer Science, 2023 Researchers from all across the world are interested in human fall detection and activity recognition. Fall detection is an exciting topic that may be tackled in several ways. Several alternatives have been suggested in recent years. These applications determine whether a person is walking, squatting, or falling, among other activities.
Challa Sahithi +3 more
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Sensors, 2023 The application of wearable devices for fall detection has been the focus of much research over the past few years. One of the most common problems in established fall detection systems is the large number of false positives in the recognition schemes ...
Jianjun Yan +3 more
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Elderly Fall Detection Systems: A Literature Survey [PDF]
Frontiers in Robotics and AI, 2020 Falling is among the most damaging event elderly people may experience. With the ever-growing aging population, there is an urgent need for the development of fall detection systems. Thanks to the rapid development of sensor networks and the Internet of Things (IoT), human-computer interaction using sensor fusion has been regarded as an effective ...
Wang, Xueyi +2 more
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Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions. [PDF]
, 2017 Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and ...
Jung, Tzyy-Ping +2 more
core +5 more sources