Výsledky vyhledávání - "Fall detection algorithm"

Novel Hierarchical Fall Detection Algorithm Using a Multiphase Fall Model Autor Hsieh, Chia-Yeh, Liu, Kai-Chun, Huang, Chih-Ning, Chu, Woei-Chyn, Chan, Chia-Tai

“… Two common technical challenges are also tackled in order to provide a reliable fall detection algorithm, including variability and ambiguity…”
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Fall detection algorithm based on global and local feature extraction Autor Li, Bin, Li, Jiangjiao, Wang, Peng

“… This paper proposes a fall detection algorithm based on global and local feature extraction…”
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Fall Detection Algorithm Using Enhanced HRNet Combined with YOLO Autor Shi, Huan, Wang, Xiaopeng, Shi, Jia

“…To address the issues of insufficient feature extraction, single-fall judgment method, and poor real-time performance of traditional fall detection algorithms in occluded scenes, a top-down fall…”
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Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit Autor Choi, Ahnryul, Kim, Tae Hyong, Yuhai, Oleksandr, Jeong, Soohwan, Kim, Kyungran, Kim, Hyunggun, Mun, Joung Hwan

“…Proactively detecting falls and preventing injuries are among the primary keys to a healthy life for the elderly. Near-fall remote monitoring in daily life…”
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A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors Autor 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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Fall Detection Algorithm Based on Inertial Sensor and Hierarchical Decision Autor Zheng, Liang, Zhao, Jie, Dong, Fangjie, Huang, Zhiyong, Zhong, Daidi

“… As a result, it is vital to design a fall detection algorithm that monitors the state of human activity…”
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Real-time fall detection algorithm based on FFD-AlphaPose and CTR–GCN Autor Yang, Xuecun, Wang, Yixiang, Dong, Zhonghua, Li, Jiayu, Zhang, Qingyun, Qiang, Shushan

“…With the increasing prevalence of an aging population, falls present a substantial risk to the health of older adults, making fall detection and prevention a…”
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Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm Autor 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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DBF-YOLO: a fall detection algorithm for complex scenes Autor Wang, Xu, Xiang, Xiaodong

“…In complex environments, factors such as varying light intensities, occluded body shapes, crowding, and significant changes in target scale result in low…”
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Optimization of an Accelerometer and Gyroscope-Based Fall Detection Algorithm Autor 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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Elderly Fall Detection Algorithm Based on Improved YOLOv5s Autor Luo, Zhongze, Jia, Siying, Niu, Hongjun, Zhao, Yifu, Zeng, Xiaoyu, Dong, Guanghui

“… In order to achieve a more lightweight and higher detection accuracy, this paper proposes a fall detection algorithm for the elderly based on improved YOLOv5s, called YOLOv5s-GCC…”
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Visual perception enhancement fall detection algorithm based on vision transformer Autor Cai, Xi, Wang, Xiangcheng, Bao, Kexin, Chen, Yinuo, Jiao, Yin, Han, Guang

“… In view of this, we propose a visual perception enhancement fall detection algorithm based on Vision Transformer…”
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Fall detection algorithm based on pyramid network and feature fusion Autor Li, Jiangjiao, Gao, Mengqi, Wang, Peng, Li, Bin

“…Accidental falls are the second leading cause of accidental death of the elderly. Early intervention measures can reduce the problem. However, so far, there…”
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A Real-time skeleton-based fall detection algorithm based on temporal convolutional networks and transformer encoder Autor Yu, Xiaoqun, Wang, Chenfeng, Wu, Wenyu, Xiong, Shuping

“…•Fall detection is critical for prompt medical assistance in older adults.•We proposed a novel and real-time skeleton-based fall detection algorithm (TCNTE…”
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Lightweight Fall Detection Algorithm Based on AlphaPose Optimization Model and ST-GCN Autor Zheng, Hongtao, Liu, Yan

“…Falls cause great harm to people, and the current, more mature fall detection algorithms cannot be well-migrated to the embedded platform because of the huge amount of calculation…”
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Improved Fall Detection Algorithm Based on YOLOv8: OEF-YOLO Autor SONG Jie, XU Huiying, ZHU Xinzhong, HUANG Xiao, CHEN Chen, WANG Zeyu

“… In response to this challenge, this study proposes an improved fall detection algorithm based on YOLOv8, called OEF-YOLO…”
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A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor Autor Bourke, A.K., Lyons, G.M.

“…A threshold-based algorithm, to distinguish between Activities of Daily Living (ADL) and falls is described. A gyroscope based fall-detection sensor array is…”
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CMFALL: A Cascade and Parallel Multi-State Fall Detection Algorithm Using Waist-Mounted Tri-Axial Accelerometer Signals Autor Wang, Gaojing, Li, Qingquan, Wang, Lei, Zhang, Yuanshi, Liu, Zheng

“… Detecting falls in time can minimize the severity of the injury and save lives. Therefore, designing fall detection algorithms to assist people's daily life has been a hot research topic…”
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An intelligent fall detection algorithm for elderly monitoring in the internet of things platform Autor Al Dujaili, Mohammed Jawas, Dhaam, Haidar Zaeer, Mezeel, Mushtaq Talib

“… One of the most critical requirements of fall detection algorithms is their accuracy…”
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Fall-Detection Algorithm Using Plantar Pressure and Acceleration Data Autor Lee, Chang Min, Park, Jisu, Park, Shinsuk, Kim, Choong Hyun

“…) data are used together, rather than when each data point is used separately. The results show that the fall-detection algorithm that applies both acceleration and COP data to the decision-tree method has a fall-detection accuracy of 95% or higher and a sufficient lead time of 317 ms on average…”
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