A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors
Author:
Funder
National Research Foundation of Korea
Publisher
Frontiers Media SA
Subject
Biomedical Engineering,Histology,Bioengineering,Biotechnology
Reference37 articles.
1. Evaluation of inertial sensor-based pre-impact fall detection algorithms using public dataset.;Ahn;Sensors,2019
2. The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data;Aziz;Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference,2014
3. Evaluation measures for models assessment over imbalanced data sets.;Bekkar;J. Inform. Eng. Appl.,2013
4. Falls and fall injuries among adults aged ≥ 65 years—United States, 2014.;Bergen;MMWR,2016
5. The direct costs of fatal and non-fatal falls among older adults—United States.;Burns;J. Saf. Res.,2016
Cited by 54 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection;Biomedical Signal Processing and Control;2024-10
2. Fall-risk assessment of aged workers using wearable inertial measurement units based on machine learning;Safety Science;2024-08
3. Unveiling Fall Origins: Leveraging Wearable Sensors to Detect Pre-Impact Fall Causes;IEEE Sensors Journal;2024-08-01
4. A spatio-temporal graph neural network for fall prediction with inertial sensors;Knowledge-Based Systems;2024-06
5. Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3