Sensor-based fall detection using a combination model of a temporal convolutional network and a gated recurrent unit
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference30 articles.
1. Yan Zhang, Heiko Neumann, An empirical study towards understanding how deep convolutional nets recognize falls, in: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018.
2. Accelerometer-based human fall detection using convolutional neural networks;Santos;Sensors,2019
3. Fall detection without people: A simulation approach tackling video data scarcity;Mastorakis;Expert Syst. Appl.,2018
4. Elderly fall detection using wearable sensors: A low cost highly accurate algorithm;Saleh;IEEE Sens. J.,2019
5. A study of fall detection in assisted living: Identifying and improving the optimal machine learning method;Thakur;J. Sensor Actuator Netw.,2021
Cited by 17 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. DuCFF: A Dual-Channel Feature-Fusion Network for Workload Prediction in a Cloud Infrastructure;Electronics;2024-09-10
3. Human activity recognition and fall detection using convolutional neural network and transformer-based architecture;Biomedical Signal Processing and Control;2024-09
4. Enhancing Detection of Falls and Bed-Falls Using a Depth Sensor and Convolutional Neural Network;IEEE Sensors Journal;2024-07-15
5. Fall Detection of the Elderly Using Denoising LSTM-Based Convolutional Variant Autoencoder;IEEE Sensors Journal;2024-06-01
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