Výsledky vyhľadávania - camera-based fall detection algorithms

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    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

    ISSN: 2053-3713, 2053-3713
    Vydavateľské údaje: England The Institution of Engineering and Technology 01.03.2016
    Vydané v Healthcare technology letters (01.03.2016)
    “…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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    Journal Article
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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

    ISSN: 1557-170X, 2694-0604, 2694-0604
    Vydavateľské údaje: United States IEEE 01.07.2017
    “… Currently fall detection algorithms however suffer a reduction in accuracy when introduced in real-life situations…”
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    Konferenčný príspevok.. Journal Article
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    An RGB camera-based fall detection algorithm in complex home environments Autor Tian, Zhiyu, Zhang, Liang, Wang, Guoan, Wang, Xuefeng

    ISSN: 2832-918X, 2832-918X
    Vydavateľské údaje: Hagerstown, MD Lippincott Williams & Wilkins 29.11.2022
    Vydané v Interdisciplinary nursing research (29.11.2022)
    “…: An RGB camera-based fall detection system is designed and it can send alarm messages when a fall occurs…”
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    Camera-based fall detection using a particle filter Autor Debard, Glen, Baldewijns, Greet, Goedeme, Toon, Tuytelaars, Tinne, Vanrumste, Bart

    ISSN: 1094-687X, 1557-170X, 2694-0604, 2694-0604
    Vydavateľské údaje: United States IEEE 01.01.2015
    “… 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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    Home Camera-Based Fall Detection System for the Elderly Autor De Miguel, Koldo, Brunete, Alberto, Hernando, Miguel, Gambao, Ernesto

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Switzerland MDPI AG 09.12.2017
    Vydané v Sensors (Basel, Switzerland) (09.12.2017)
    “…) as input to a machine learning algorithm with high detection accuracy. Tests conducted on over 50 different fall videos have shown a detection ratio of greater than 96%…”
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    Fall detection monitoring systems: a comprehensive review Autor Vallabh, Pranesh, Malekian, Reza

    ISSN: 1868-5137, 1868-5145
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2018
    “… Fall detection systems can be grouped into the following categories: camera-based, ambient sensors, and wearable sensors…”
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    Accelerometer and Camera-Based Strategy for Improved Human Fall Detection Autor Zerrouki, Nabil, Harrou, Fouzi, Sun, Ying, Houacine, Amrane

    ISSN: 0148-5598, 1573-689X, 1573-689X
    Vydavateľské údaje: New York Springer US 01.12.2016
    Vydané v Journal of medical systems (01.12.2016)
    “…In this paper, we address the problem of detecting human falls using anomaly detection…”
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    Background-Subtraction Algorithm Optimization for Home Camera-Based Night-Vision Fall Detectors Autor Alonso, Mercedes, Brunete, Alberto, Hernando, Miguel, Gambao, Ernesto

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2019
    Vydané v IEEE access (2019)
    “… The research contribution presented in this paper is the identification of the optimal background subtractor algorithm in indoor night-time environments, with a focus on the detection of human falls…”
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    Fall prediction algorithm with built-in instability metrics Autor Al-Hammouri, Sajeda, Wung, Shu-Fen, Chen, Ziao, Chen, Chang-Chun, Ortega, Isabellah, Jalali, Bahram, Roveda, Janet, Hazeli, Kavan

    ISSN: 0021-9290, 1873-2380, 1873-2380
    Vydavateľské údaje: United States Elsevier Ltd 01.01.2026
    Vydané v Journal of biomechanics (01.01.2026)
    “… Typically, camera-based systems for “fall prediction” are rarely investigated compared to “fall detection” systems because falls represent a nonlinear, time-dependent challenge…”
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    AI-Driven Privacy in Elderly Care: Developing a Comprehensive Solution for Camera-Based Monitoring of Older Adults Autor Wang, Chang-Yueh, Lin, Fang-Suey

    ISSN: 2076-3417, 2076-3417
    Vydavateľské údaje: Basel MDPI AG 01.05.2024
    Vydané v Applied sciences (01.05.2024)
    “… Furthermore, the proposed system incorporates a fall detection algorithm that utilizes a residual causal convolutional…”
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    Camera-Based Fall Detection System for the Elderly With Occlusion Recognition Autor Lezzar, Fouzi, Benmerzoug, Djamel, Kitouni, Ilham

    ISSN: 1224-5593, 2067-7855
    Vydavateľské údaje: Cluj-Napoca SRIMA Publishing House 01.09.2020
    Vydané v Applied medical informatics (01.09.2020)
    “…We proposed in this paper an algorithm for fall detection using 2D RGB camera. Occlusion, fall, and common daily activities are separated from each…”
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    Fall Prevention Shoes Using Camera-Based Line-Laser Obstacle Detection System Autor Lin, Tzung-Han, Shih, Wen-Pin, Yang, Chi-Yun

    ISSN: 2040-2295, 2040-2309
    Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017
    Vydané v Journal of healthcare engineering (01.01.2017)
    “…Fall prevention is an important issue particularly for the elderly. This paper proposes a camera-based line-laser obstacle detection system to prevent falls in the indoor environment…”
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    Three Ways to Improve the Performance of Real-Life Camera-Based Fall Detection Systems Autor Tuytelaars, Tinne, Goedemé, Toon, Mertens, Marc, Debard, Glen, Vanrumste, Bart

    ISSN: 1687-725X, 1687-7268
    Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017
    Vydané v Journal of sensors (01.01.2017)
    “… Camera-based fall detection systems can help by triggering an alarm when falls occur. Previously we showed that real-life data poses significant challenges, resulting in high false alarm rates…”
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    Saliency based human fall detection in smart home environments using posture recognition Autor Mousse, Mikael Ange, Atohoun, Béthel

    ISSN: 1460-4582, 1741-2811, 1741-2811
    Vydavateľské údaje: London, England SAGE Publications 01.07.2021
    Vydané v Health informatics journal (01.07.2021)
    “…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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    RGB camera-based fallen person detection system embedded on a mobile platform Autor Lafuente-Arroyo, Sergio, Martín-Martín, Pilar, Iglesias-Iglesias, Cristian, Maldonado-Bascón, Saturnino, Acevedo-Rodríguez, Francisco Javier

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: New York Elsevier Ltd 01.07.2022
    Vydané v Expert systems with applications (01.07.2022)
    “…Most injuries in the elderly are due to falls. The response time, to attend to the critically injured in such fall cases, is crucial to their survival…”
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    Deep Learning Based Computer Vision Bound Fall Detection for Elderly People Autor Abdoul-Halim, Mohamed Abdallah, Vengusamy, Sivakumar

    ISSN: 2643-2447
    Vydavateľské údaje: IEEE 13.12.2023
    “… 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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    Fall Detection System for Elderly (FDS-E) using Low-cost Camera Based on LSTM and OpenPose Autor Miawarni, Herti, Sardjono, Tri Arief, Setijadi, Eko, Wijayanti, Purnomo, Mauridhi Hery

    ISSN: 2642-2077
    Vydavateľské údaje: IEEE 22.05.2023
    “… These findings highlight the importance of investing heavily in the study and advancement of fall detection and intervention technologies…”
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    Data Acquisition, Processing, and Reduction for Home-Use Trial of a Wearable Video Camera-Based Mobility Aid Autor Pundlik, Shrinivas, Baliutaviciute, Vilte, Moharrer, Mojtaba, Bowers, Alex R., Luo, Gang

    ISSN: 2164-2591, 2164-2591
    Vydavateľské údaje: United States The Association for Research in Vision and Ophthalmology 01.06.2020
    “… For a wearable video camera-based collision warning device, we present the methodology for acquisition, reduction, review, and coding of video data for quantitative analyses of mobility outcomes…”
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    Development of an intrinsic health risk prediction model for camera-based monitoring of older adults living alone Autor Kim, Minji, Hong, Song-iee, Youm, Sekyoung

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 07.11.2022
    Vydané v Scientific reports (07.11.2022)
    “… them. These factors can only be derived through long-term monitoring, but the current monitoring system for older adults is severely limited as it focuses only on emergencies, such as “falls…”
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