Search Results - 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 by 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 by Baldewijns, Greet, Debard, Glen, Mertes, Gert, Croonenborghs, Tom, Vanrumste, Bart

“… Currently fall detection algorithms however suffer a reduction in accuracy when introduced in real-life situations…”
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An RGB camera-based fall detection algorithm in complex home environments by 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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Camera-based fall detection using a particle filter by 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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Home Camera-Based Fall Detection System for the Elderly by De Miguel, Koldo, Brunete, Alberto, Hernando, Miguel, Gambao, Ernesto

“…) 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 by 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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Accelerometer and Camera-Based Strategy for Improved Human Fall Detection by Zerrouki, Nabil, Harrou, Fouzi, Sun, Ying, Houacine, Amrane

“…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 by Alonso, Mercedes, Brunete, Alberto, Hernando, Miguel, Gambao, Ernesto

“… 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 by Al-Hammouri, Sajeda, Wung, Shu-Fen, Chen, Ziao, Chen, Chang-Chun, Ortega, Isabellah, Jalali, Bahram, Roveda, Janet, Hazeli, Kavan

“… 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 by Wang, Chang-Yueh, Lin, Fang-Suey

“… 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 by Lezzar, Fouzi, Benmerzoug, Djamel, Kitouni, Ilham

“…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 by Lin, Tzung-Han, Shih, Wen-Pin, Yang, Chi-Yun

“…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 by Tuytelaars, Tinne, Goedemé, Toon, Mertens, Marc, Debard, Glen, Vanrumste, Bart

“… 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 by 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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RGB camera-based fallen person detection system embedded on a mobile platform by Lafuente-Arroyo, Sergio, Martín-Martín, Pilar, Iglesias-Iglesias, Cristian, Maldonado-Bascón, Saturnino, Acevedo-Rodríguez, Francisco Javier

“…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 by 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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Fall Detection System for Elderly (FDS-E) using Low-cost Camera Based on LSTM and OpenPose by Miawarni, Herti, Sardjono, Tri Arief, Setijadi, Eko, Wijayanti, Purnomo, Mauridhi Hery

“… These findings highlight the importance of investing heavily in the study and advancement of fall detection and intervention technologies…”
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Smart Camera Based Monitoring System and Its Application to Assisted Living : Video analysis algorithms replace human operators in a practical prototype system that attempts to respect privacy while detecting residents who fall: Distributed Smart Cameras by FLECK, Sven, STRASSER, Wolfgang

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Data Acquisition, Processing, and Reduction for Home-Use Trial of a Wearable Video Camera-Based Mobility Aid by Pundlik, Shrinivas, Baliutaviciute, Vilte, Moharrer, Mojtaba, Bowers, Alex R., Luo, Gang

“… 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 by Kim, Minji, Hong, Song-iee, Youm, Sekyoung

“… 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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