Sensitivity Analysis of LSTM Networks for Fall Detection Wearable Sensors
Author:
Affiliation:
1. COPELABS, Universidade Lusófona, Campo Grande 376,Lisbon,Portugal,1749-024
Funder
Horizon Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10084443/10084872/10084906.pdf?arnumber=10084906
Reference25 articles.
1. Unified framework for triaxial accelerometer‐based fall event detection and classification using cumulants and hierarchical decision tree classifier
2. An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment
3. Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques
4. A robust human activity recognition system using smartphone sensors and deep learning
5. A pervasive neural network based fall detection system on smart phone
Cited by 8 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. Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection;Proceedings of the 2024 International Conference on Information Technology for Social Good;2024-09-04
2. Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14
3. Horses Identification Through Deep Learning Algorithms;2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE);2024-07-05
4. Elderly Fall Detection Using Attention Based dilated CNN and dilated BiLSTM;2024 International Conference on Automation and Computation (AUTOCOM);2024-03-14
5. Synthetic IMU Datasets and Protocols Can Simplify Fall Detection Experiments and Optimize Sensor Configuration;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
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