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Human Fall Detection with Ultra-Wideband Radar and Adaptive Weighted Fusion. [PDF]
Sensors (Basel)Huang L, Zhu A, Qian M, An H.
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Experimental Study of Long Short-Term Memory and Transformer Models for Fall Detection on Smartwatches. [PDF]
Sensors (Basel)Haque ST +4 more
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Dynamic Tracking and Real-Time Fall Detection Based on Intelligent Image Analysis with Convolutional Neural Network. [PDF]
Sensors (Basel)Yao CB, Lu CT.
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INMIC, 2013
Fall-induced injuries are common in the elderly population. Delay or lack of medical care after the occurrence of a fall often results in injuries, sometimes severe, and can also lead to death in some cases. Falls, therefore, are critical occurrences for the elderly.
Syed Farooq Ali +4 more
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Fall-induced injuries are common in the elderly population. Delay or lack of medical care after the occurrence of a fall often results in injuries, sometimes severe, and can also lead to death in some cases. Falls, therefore, are critical occurrences for the elderly.
Syed Farooq Ali +4 more
openaire +1 more source
Fall detection using multiple cameras
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008Today, different ways are suggested to help elderly people in case of emergency. Our aim here is to propose a novel method, without any wearable device, to detect falls on the floor with a multiple cameras system. This proposal uses image analysis to localise people and reconstruct their 3D shape and position.
Edouard, Auvinet +4 more
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Fall detection - Principles and Methods
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007Fall detection of the elderly is a major public health problem. Thus it has generated a wide range of applied research and prompted the development of telemonitoring systems to enable the early diagnosis of fall conditions. This article is a survey of systems, algorithms and sensors, for the automatic early detection of the fall of elderly persons.
Noury, Norbert +6 more
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Simulated fall detection via accelerometers
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008We have derived a fall detection algorithm with high sensitivity and specificity from a single accelerometer device worn at the hip. A small clinical trial to obtain accelerometer data corresponding with actual falls experienced by elderly patients failed to provide a statistically significant number of fall events from which to develop an algorithm ...
Justin, Boyle, Mohan, Karunanithi
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Personalized Fall Detection System
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020This paper explores the personalization of smartwatch-based fall detection models trained using a combination of deep neural networks with ensemble techniques. Deep neural networks face practical challenges when used for fall detection, which in general tend to have limited training samples and imbalanced datasets. Moreover, many motions generated by a
Anne H. Ngu +5 more
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Autonomic Fall Detection System
2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2017Internet of Things (IoT) and cloud computing have produced major breakthroughs in information services and applications. Internet provided the required connections to countless devices or things that have led to a significant improvement in the quality of life.
Tunc, Cihan +2 more
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Wearable fall detection system
2016 3rd Middle East Conference on Biomedical Engineering (MECBME), 2016Falling is a serious issue among old aged population; it leads to severe injuries and consequences. Inability to move after a fall means that the subject cannot ask for help by himself, which increases the percentage of fall-induced injuries significantly.
S. Rihana, J. Mondalak
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