Search Results - "fall detection algorithm"

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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Optimization of an Accelerometer and Gyroscope-Based Fall Detection Algorithm by Ghassemian, Nazanin, Irazabal, Lucia B., Nguyen, Uyen D., Huynh, Quoc T., Tran, Binh Q.

“… In the USA, one in three of the elderly suffers from fall injuries annually. This study’s purpose is to develop, optimize, and assess the efficacy of a falls detection algorithm based upon a wireless, wearable sensor system (WSS…”
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A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor by Bourke, A.K., Lyons, G.M.

“… by elderly subjects, the ability to discriminate between falls and ADL was achieved using a bi-axial gyroscope sensor mounted on the trunk, measuring pitch and roll angular velocities, and a threshold-based algorithm…”
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Multi-scale motion perception fall detection algorithm based on video swin transformer by Cai, Xi, Wang, Xiangcheng, Jiao, Yin, Chen, Yinuo, Han, Guang

“…-range spatiotemporal correlations. Taking this into account, a multi-scale motion perception fall detection algorithm based on video swin transformer is proposed in this study…”
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Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults by Scheurer, Simon, Koch, Janina, Kucera, Martin, Bryn, Hȧkon, Bärtschi, Marcel, Meerstetter, Tobias, Nef, Tobias, Urwyler, Prabitha

“… The threshold-based fall detection algorithm was developed using motion data of young subjects collected in a lab setup…”
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Fall detection algorithm based on accelerometer and gyroscope sensor data using Recurrent Neural Networks by Wayan Wiprayoga Wisesa, I, Mahardika, Genggam

“… Several fall detection algorithms exist, with the majority are using rule-based algorithm…”
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Optimization of a Pre-impact Fall Detection Algorithm and Development of Hip Protection Airbag System by Ahn, Soonjae, Choi, Dagyeong, Kim, Jongman, Kim, Seongjung, Jeong, Youngjae, Jo, Min, Kim, Youngho

“…In this study, a pre-impact fall detection algorithm using a custom-made inertial sensor was optimized, and a spring-trigger airbag system was developed for preventing injuries from falls…”
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A Novel Short-Time Fourier Transform-Based Fall Detection Algorithm Using 3-Axis Accelerations by Kim, Youngho, Choi, Eunkyoung, Kim, Jongman, Park, Sunwoo, Ryu, Jeseong, Ahn, Soonjae, Son, Jongsang, Shin, Isu, Cha, Baekdong

“…). Forty male subjects volunteered in the experiments including three types of falls and four types of ADLs…”
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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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Fall Detection Algorithm using Body Angle for Accurate Classification of Falls and ADLs by Ibrahim, Ali, Chaccour, Kabalan, Badr, Georges, Hassani, Amir Hajjam El

“…Falls in elderly are an important issue for the aging populations around the world. They cause severe physical and emotional injuries and surge healthcare and…”
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A machine learning approach to fall detection algorithm using wearable sensor by Chia-Yeh Hsieh, Chih-Ning Huang, Kai-Chun Liu, Woei-Chyn Chu, Chia-Tai Chan

“… We propose machine learning-based fall detection algorithm using multi-SVM with linear, quadratic or polynomial kernel function, and k-NN classifier…”
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Fall detection algorithm using linear prediction model by Nathasitsophon, Yuphawadee, Auephanwiriyakul, Sansanee, Theera-Umpon, Nipon

“… Thus, a good fall detection algorithm is needed to help reducing a rescuing time for a helper…”
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Fall Detection Algorithm using the Fall Feature Parameters Extracted from Video and Accelerometer Sensor by Yu, YunSeop, Kim, Sang-Hoon

“…A newly developed fall detection algorithm applied to a simple threshold method and hidden Markov model (HMM) is introduced…”
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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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Real-time low-energy fall detection algorithm with a Programmable Truncated MAC by de la Guia Solaz, Manuel, Bourke, Alan, Conway, Richard, Nelson, John, ÓLaighin, Gearóid

“… on the trunk and using simulated falls performed by young healthy subjects under supervised conditions and ADL performed by elderly subjects…”
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Improving the accuracy of a fall detection algorithm using free fall characteristics by Jantaraprim, P, Phukpattaranont, P, Limsakul, C, Wongkittisuksa, B

“… This paper presents a fall detection algorithm utilizing two thresholds for the resultant acceleration in 1.5-s window segments…”
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Comparison of low-complexity fall detection algorithms for body attached accelerometers by Kangas, Maarit, Konttila, Antti, Lindgren, Per, Winblad, Ilkka, Jämsä, Timo

“… The aim of this study was to evaluate different low-complexity fall detection algorithms, using triaxial accelerometers attached at the waist, wrist, and head…”
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A dataset for the development and optimization of fall detection algorithms based on wearable sensors by Cotechini, Valentina, Belli, Alberto, Palma, Lorenzo, Morettini, Micaela, Burattini, Laura, Pierleoni, Paola

“…This paper describes a dataset acquired on 8 subjects while simulating 13 types of falls and 5 types of Activities of Daily Living (ADL…”
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A Wearable Airbag to Prevent Fall Injuries by Tamura, T., Yoshimura, T., Sekine, M., Uchida, M., Tanaka, O.

“… Sixteen subjects mimicked falls, and their acceleration waveforms were monitored. Then, we developed a fall-detection algorithm that could detect signals 300 ms before the fall…”
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Highly Portable, Sensor-Based System for Human Fall Monitoring by Mao, Aihua, Ma, Xuedong, He, Yinan, Luo, Jie

“…Falls are a very dangerous situation especially among elderly people, because they may lead to fractures, concussion, and other injuries. Without timely…”
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