Results 31 to 40 of about 11,090,884 (273)
Video Based Fall Detection Using Human Poses [PDF]
, 2022 Video based fall detection accuracy has been largely improved due to the recent progress on deep convolutional neural networks. However, there still exists some challenges, such as lighting variation, complex background, which degrade the accuracy and generalization ability of these approaches.
Ziwei Chen, Yiye Wang, Wankou Yang
openaire +3 more sources
Fall Detection for Shipboard Seafarers Based on Optimized BlazePose and LSTM
Sensors, 2022 Aiming to avoid personal injury caused by the failure of timely medical assistance following a fall by seafarer members working on ships, research on the detection of seafarer’s falls and timely warnings to safety officers can reduce the loss and severe ...
Wei Liu +7 more
doaj +1 more source
A fuzzy model for human fall detection in infrared video [PDF]
Journal of Intelligent & Fuzzy Systems, 2013 Fall detection, especially for elderly people, is a challenging problem which demands new products and technologies. In this paper a fuzzy model for fall detection and inactivity monitoring in infrared video is presented. The classification features proposed include geometric and kinematic parameters associated with more or less sudden changes in the ...
Marina V. Sokolova +3 more
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Fast human detection for video event recognition [PDF]
, 2009 Human body detection, which has become a research hotspot during the last two years, can be used in many video content analysis applications. This paper investigates a fast human detection method for volume based video event detection.
Wang, J, Xu, Zhijie, Hoder, M.E.
core +4 more sources
Human Fall Detection Using Spatial Temporal Graph Convolutional Networks. [PDF]
IJCI International Journal of Computers and Information, 2023 Falls are a serious issue in society and have become a major topic in the healthcare domain. Because of the rapidly increasing number of elderly people, falling can cause serious consequences for the elderly, especially if the fallen person is unable to ...
Hadeer Abdo, Khalid Amin, Ahmed Hamad
doaj +1 more source
Human Fall Detection Method Using Millimeter-wave Radar Based on RDSNet
Leida xuebao, 2021 With the advent of the aging population, fall detection has gradually become a research hotspot. Aiming at the detection of human fall using millimeter-wave radar, a Range-Doppler heat map Sequence detection Network (RDSNet) model that combines the ...
Zhian YUAN +5 more
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Recognition of false alarms in fall detection systems [PDF]
, 2011 Falls are a major cause of hospitalization and injury-related deaths among the elderly population. The detrimental effects of falls, as well as the negative impact on health services costs, have led to a great interest on fall detection systems by the ...
Janet Light +13 more
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Image‐based fall detection in bus compartment scene
IET Image Processing, 2023 Bus, as an important means of public transportation, has always received attention for its safety. When an emergency occurs, fall behaviour is one of representative features to help alarm.
Xiaoping Zhang +4 more
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Vision-based Human Fall Detection Systems: A Review
Procedia Computer ScienceLayth Sliman
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Indoor Human Fall Detection Algorithm Based on Wireless Sensing
Tsinghua Science and Technology, 2022 As the main health threat to the elderly living alone and performing indoor activities, falls have attracted great attention from institutions and society.
Chao Wang +5 more
doaj +1 more source