Results 21 to 30 of about 11,090,884 (273)
Fall Detection Method Integrating Multi-Feature and Semantic Graph Convolution Network [PDF]
Jisuanji gongcheng, 2023 Falls have a serious impact on the lives and health of elderly people.Fall detection can reduce the risk of elderly people falling again，thereby ensuring their ability to live and improving their quality of life.Currently，vision-based fall detection ...
CHEN Wenxuan, ZENG Bi, GUO Zhixing
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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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Sensors, 2023 After traffic-related incidents, falls are the second cause of human death, presenting the highest percentage among the elderly. Aiming to address this problem, the research community has developed methods built upon different sensors, such as wearable ...
Stavros N. Moutsis +2 more
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Falling motion detection algorithm based on deep learning
IET Image Processing, 2022 Falling is a significant cause of injuries and even death in the elderly. The timely detection of the fall action helps to rescue people who may have physical health problems due to the fall, so fall detection is necessary. The traditional fall detection
Na Zhu +3 more
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Research on Human Fall Detection Based on Threshold and PSO-SVM [PDF]
Jisuanji gongcheng, 2016 To improve the accuracy in human fall detection,a fall detection algorithm based on acceleration sensor in a smart phone is proposed.The acceleration information of human movement is collected by a smart phone,and a mixed method is utilized by combining ...
SUN Xiaowen,SUN Ziwen,QIN Fang
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Fall Detection Based on Dual-Channel Feature Integration
IEEE Access, 2020 Falls have caught great harm to the elderly living alone at home. This paper presents a novel visual-based fall detection approach by Dual-Channel Feature Integration.
Bo-Hua Wang +4 more
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Feasibility of Using Floor Vibration to Detect Human Falls [PDF]
International Journal of Environmental Research and Public Health, 2020 With the increasing aging population in modern society, falls as well as fall-induced injuries in elderly people become one of the major public health problems. This study proposes a classification framework that uses floor vibrations to detect fall events as well as distinguish different fall postures.
Yu Shao +5 more
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Heterogeneous Sensor Data Fusion for Human Falling Detection [PDF]
IEEE Access, 2021 With the continuous improvement of human living standards, population aging has become a global development trend. At present, China has entered an aging society, the health and safety of the elderly have become the focus of social concern. Due to the aging of physiological structure and the decline of physical function, the probability and frequency ...
Daohua Pan +2 more
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Automatic Detection of Human Fall in Video [PDF]
, 2007 In this paper, we present an approach for human fall detection, which has important applications in the field of safety and security. The proposed approach consists of two parts: object detection and the use of a fall model. We use an adaptive background subtraction method to detect a moving object and mark it with its minimum-bounding box.
Vinay Vishwakarma +2 more
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HUMAN ACTIVITY RECOGNITION AND FALL DETECTION
International Journal of Engineering Applied Sciences and Technology, 2021 Personalized monitoring and its application is increasing with the advancement of technology. And during pandemics its become very essential to keep an eye on the prone area and one of the area to identify was old age home. Dizziness, unconsciousness, and others are the common problems associated with elderly people due to weakness and this was also ...
Disha Deepak Jatkar, Prof. Anil R Surve
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