Výsledky vyhledávání - camera-based fall detection algorithms*

Bridging the gap between real-life data and simulated data by providing a highly realistic fall dataset for evaluating camera-based fall detection algorithms Autor Baldewijns, Greet, Debard, Glen, Mertes, Gert, Vanrumste, Bart, Croonenborghs, Tom

“…Fall incidents are an important health hazard for older adults. Automatic fall detection systems can reduce the consequences of a fall incident by assuring that timely aid is given…”
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Improving the accuracy of existing camera based fall detection algorithms through late fusion Autor Baldewijns, Greet, Debard, Glen, Mertes, Gert, Croonenborghs, Tom, Vanrumste, Bart

“…Fall incidents remain an important health hazard for older adults. Fall detection systems can reduce the consequences of a fall incident by insuring that timely aid is given…”
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An RGB camera-based fall detection algorithm in complex home environments Autor Tian, Zhiyu, Zhang, Liang, Wang, Guoan, Wang, Xuefeng

“…: An RGB camera-based fall detection system is designed and it can send alarm messages when a fall occurs…”
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A new fall detection algorithm based on depth information using RGB-D camera Autor Chi-Chia Sun, Ming-Hwa Sheu, Yu-Cheng Syu

“… Elders will restrict their movement due to fear of fall. In this paper, a new real-time fall detection algorithm using depth information from RGB-D camera is proposed…”
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Saliency based human fall detection in smart home environments using posture recognition Autor Mousse, Mikael Ange, Atohoun, Béthel

“…The implementation of people monitoring system is an evolving research theme. This paper introduces an elderly monitoring system that recognizes human posture from overlapping cameras for people fall detection in a smart home environment…”
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3D measures exploitation for a monocular semi-supervised fall detection system Autor Makantasis, Konstantinos, Protopapadakis, Eftychios, Doulamis, Anastasios, Doulamis, Nikolaos, Matsatsinis, Nikolaos

“… Thus, the development of robust home surveillance systems is of great importance. In this article, such a system is presented, which tries to address the fall detection problem through visual cues…”
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Deep Learning Based Computer Vision Bound Fall Detection for Elderly People Autor Abdoul-Halim, Mohamed Abdallah, Vengusamy, Sivakumar

“… An automated fall detection system has gained popularity in the healthcare sector due to the social and financial benefits it offers…”
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Camera-based fall detection using a particle filter Autor Debard, Glen, Baldewijns, Greet, Goedeme, Toon, Tuytelaars, Tinne, Vanrumste, Bart

“… The lack of timely aid after such a fall incident can lead to severe complications. This timely aid can however be assured by a camera-based fall detection system triggering an alarm when a fall occurs…”
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Design of a home-based elderly service robot using ROS Autor Zhao Zebei, Feng Peilin, Xie Xiaorui, Zhang Jing

“… By employing facial recognition based on Haar features and LBPH algorithm, voice interaction using Alpaca-2 model, and fall detection based on ZED2i stereo camera, it provides more comprehensive…”
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Fall detection monitoring systems: a comprehensive review Autor Vallabh, Pranesh, Malekian, Reza

“… Fall detection systems can be grouped into the following categories: camera-based, ambient sensors, and wearable sensors…”
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Elderly Fall Detection in Complex Environment Based on Improved YOLOv5s and LSTM Autor Bui, Thioanh, Liu, Juncheng, Cao, Jingyu, Wei, Geng, Zeng, Qian

“… or not. When the target is visible, a vision-based fall detection algorithm is proposed, where an image of the target captured by a camera is transmitted to the improved You Only Look Once version 5s (YOLOv5s…”
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An Image-Based Fall Detection System for the Elderly Autor Lu, Kun-Lin, Chu, Edward T.-H.

“… In this work, we designed an Image-based FAll Detection System (IFADS) for nursing homes, where public areas are usually equipped with surveillance cameras…”
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A smart ward with a fall detection system Autor Mu-Chun Su, Jia-Wei Liao, Pa-Chun Wang, Chen-Hsu Wang

“… The smart ward is consisted of a Kinect depth camera and a neural-network-based fall detection algorithm…”
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A Privacy-Aware Fall Detection System for Hospitals and Nursing Facilities Autor Krempel, Erik, Birnstill, Pascal, Beyerer, Jürgen

“… We introduce a prototype of a fall detection system based on cameras and computer vision algorithms, which satisfies the high privacy demands of hospitals and nursing facilities…”
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Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study Autor Senouci, Benaoumeur, Charfi, Imen, Heyrman, Barthelemy, Dubois, Julien, Miteran, Johel

“… A key example of application is automatic fall detection, which can be useful for helping elderly people in daily life…”
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Advancing Fall Detection Utilizing Skeletal Joint Image Representation and Deformable Layers Autor Ergüder, Hamza, Uzun, Tuncay, Baday, Murat

“… In this study, a novel video-based fall detection algorithm that relies on skeleton joints is introduced…”
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Visual Fall Detection Analysis Through Computer Vision and Deep Learning – Technology Proposition Autor Dr. C Kiranmai, B Srivalli, CH Komali, G Apurva, Yesshaswi, B Sneha

“… Fall detection technologies are majorly categorised as wearable sensors and ambient sensors…”
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Privacy Preserving Multi-class Fall Classification Based on Cascaded Learning And Noisy Labels Handling Autor Xie, Leiyu, Sun, Yang, Chambers, Jonathon A., Naqvi, Syed Mohsen

“… Currently, most of the fall detection algorithms are based on wearable and non-wearable sensors, such as accelerometer and video camera respectively…”
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Vision-based Human Fall Detection Systems: A Review Autor Benkaci, Asma, Sliman, Layth, Dellys, Hachemi Nabil

“… Recently proposed systems are analyzed and compared. The literature review underscores the promising potential of camera-based fall detection systems and highlights…”
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An Intelligent Alarm and Messaging Based Surveillance System for Fall Detection and Absence Recognition of Unaccompanied Child Autor Javed, Ali, Islam, Rabeea

“… Surveillance has been used in various areas and one of them is the detection of unintentional fall of patients, senior citizens and children which can cause serious injuries and health threats…”
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