Leveraging deep feature learning for wearable sensors based handwritten character recognition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Leveraging deep feature learning for wearable sensors based handwritten character recognition

Published:2023-02 Issue: Volume:80 Page:104198
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Singh Shashank Kumar,Chaturvedi Amrita^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference83 articles.

1. Note-on-watch: Live scribing from board-works to class-notes;Das,2020

2. Handwritten signature verification system using IoT;Kumar,2021

3. Online and off-line handwriting recognition: a comprehensive survey;Plamondon;IEEE Trans. Pattern Anal. Mach. Intell.,2000

4. Online and offline character recognition: A survey;Priya,2016

5. Recognition of handwriting from electromyography;Linderman;PLoS One,2009

Cited by 13 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. An efficient multi-modal sensors feature fusion approach for handwritten characters recognition using Shapley values and deep autoencoder;Engineering Applications of Artificial Intelligence;2024-12

2. Abstraction and decision fusion architecture for resource-aware image understanding with application on handwriting character classification;Applied Soft Computing;2024-09

3. Exploration of advancements in handwritten document recognition techniques;Intelligent Systems with Applications;2024-06

4. Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition;Bioengineering;2024-05-04

5. AILS: Experimental Evaluation of Handwritten Text Character Recognition System using Artificial Intelligence based Learning Scheme;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

同舟云学术

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