Search Results - fall detection algorithm evaluation

Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls by Bagalà, Fabio, Becker, Clemens, Cappello, Angelo, Chiari, Lorenzo, Aminian, Kamiar, Hausdorff, Jeffrey M., Zijlstra, Wiebren, Klenk, Jochen

“… Real-time detection of falls and their urgent communication to a telecare center may enable rapid medical assistance, thus increasing the sense of security of the elderly and reducing some of the…”
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Development and Evaluation of a Prior-to-Impact Fall Event Detection Algorithm by Liu, Jian, Lockhart, Thurmon E.

“… Nevertheless, existing fall detection research is facing various limitations. The current study aimed to develop and validate a new fall detection algorithm using 2-D information (i.e…”
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Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm by Bourke, A.K., O’Brien, J.V., Lyons, G.M.

“… Falls detection algorithms were devised using thresholding techniques. Falls could be distinguished from ADL for a total data set from 480 movements…”
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Evaluation of Inertial Sensor-Based Pre-Impact Fall Detection Algorithms Using Public Dataset by Ahn, Soonjae, Kim, Jongman, Koo, Bummo, Kim, Youngho

“…In this study, pre-impact fall detection algorithms were developed based on data gathered by a custom-made inertial measurement unit (IMU…”
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Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities by Bourke, A.K., van de Ven, P., Gamble, M., O’Connor, R., Murphy, K., Bogan, E., McQuade, E., Finucane, P., ÓLaighin, G., Nelson, J.

“… This study evaluated a variety of existing and novel fall-detection algorithms for a waist-mounted accelerometer based system…”
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The MobiFall dataset: An initial evaluation of fall detection algorithms using smartphones by Vavoulas, George, Pediaditis, Matthew, Spanakis, Emmanouil G., Tsiknakis, Manolis

“…Fall detection receives significant attention in the field of preventive medicine, wellness provision and assisted living, especially for the elderly…”
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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 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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Analysis of Public Datasets for Wearable Fall Detection Systems by Casilari, Eduardo, Santoyo-Ramón, José-Antonio, Cano-García, José-Manuel

“… This paper reviews and appraises twelve existing available data repositories containing measurements of ADLs and emulated falls envisaged for the evaluation of fall detection algorithms in wearable FDSs…”
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Pre-impact fall detection by Hu, Xinyao, Qu, Xingda

“…: fall detection apparatus, fall detection indicators, fall detection algorithms, and types of falls for fall detection evaluation…”
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Multimodal dataset for sensor fusion in fall detection by Taramasco, Carla, Pineiro, Miguel, Ormeño-Arriagada, Pablo, Robles, Diego, Araya, David

“…The necessity for effective automatic fall detection mechanisms in older adults is driven by the growing demographic of elderly individuals who are at substantial health risk from falls, particularly when residing alone…”
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Evaluation of a low-complexity fall detection algorithm on wearable sensor towards falls and fall-alike activities by Weihao Qu, Feng Lin, Aosen Wang, Wenyao Xu

“… In this study, we focus on evaluating the accuracy of fall detection among a set of fall-alike activities using a low-complexity fall detection algorithm and a 3-axis accelerometer…”
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A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors by Zhang, Jing, Li, Jia, Wang, Weibing

“… Therefore, timely and accurate fall detection algorithm research is extremely important. Recently, a number of researchers have focused on fall detection and made many…”
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The Impact of YOLO Algorithms Within Fall Detection Application: A Review by Khekan, Ahlam R., Aghdasi, Hadi S., Salehpour, Pedram

“… Furthermore, we describe the evaluation architecture of YOLO algorithms (YOLOv1 - YOLOv8). Additionally, we provide a survey on benchmark datasets for fall detection…”
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Design and Implementation of a Distributed Fall Detection System-Personal Server by Estudillo-Valderrama, M.A., Roa, L.M., Reina-Tosina, J., Naranjo-Hernandez, D.

“…In this paper, the main results related to a fall detection system are shown by means of a personal server for the control and processing of the data acquired from multiple intelligent biomedical sensors…”
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Comparison of Machine Learning Algorithms for Position-Oriented Human Fall Detection by Salem, Ziad, Lichtenegger, Felix, Weiss, Andreas Peter, Leiner, Claude, Sommer, Christian, Krutzler, Christian

“… In this work, a smart system for position-oriented human fall detection is investigated using various machine-learning algorithms for data processing and evaluation…”
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Analysis of Android Device-Based Solutions for Fall Detection by Casilari, Eduardo, Luque, Rafael, Morón, María-José

“… Thus, the investigation on automatic Fall Detection Systems (FDSs) has received special attention from the research community during the last decade…”
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Human fall detection on embedded platform using depth maps and wireless accelerometer by Kwolek, Bogdan, Kepski, Michal

“…•An algorithm with low computational demands for person extraction in depth images.•A freely available database for evaluation of fall detection, consisting of both accelerometric and depth data…”
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A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform by Liu, Zhi, Cao, Yankun, Cui, Lizhen, Song, Jiahua, Zhao, Guangzhe

“… A benchmark database, namely, a fall detection database, is presented to evaluate the performance of detection algorithms…”
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A framework to automatically detect near-falls using a wearable inertial measurement cluster by Gießler, Maximilian, Werth, Julian, Waltersberger, Bernd, Karamanidis, Kiros

“… Here, we worked on an automated framework based on accurate trunk kinematics, enabling the detection of near-fall scenarios during locomotion…”
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Three-States-Transition Method for Fall Detection Algorithm Using Depth Image by Kong, Xiangbo, Meng, Zelin, Meng, Lin, Tomiyama, Hiroyuki

“… In this paper, an enhancement to our algorithm to detect such falls in an elderly person’s living room is proposed…”
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