Analyzing body changes of high-level dance movements through biological image visualization technology by convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-021-04298-y.pdf
Reference37 articles.
1. Yahya N, Musa H, Ong ZY et al (2019) Classification of motor functions from electroencephalogram (EEG) signals based on an integrated method comprised of common spatial pattern and wavelet transform framework. Sensors 19(22):4878–4883
2. Zbontar J, LeCun Y (2016) Stereo matching by training a CNN to compare image patches. J Mach Learn Res 17(1–32):2–14
3. Jin KH, McCann MT, Froustey E et al (2017) Deep CNN for inverse problems in imaging. IEEE Trans Image Process 26(9):4509–4522
4. Ovtcharov K, Ruwase O, Kim JY et al (2015) Accelerating deep CNNs using specialized hardware. Microsoft Research Whitepaper 2(11):1–4
5. Xiong H, Bairner A, Tang Z (2020) Embracing city life: physical activities and the social integration of the new generation of female migrant workers in urban China. Leis Stud 39(6):782–796
Cited by 10 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. Relationship between visual image art and dance teaching;Computers in Human Behavior;2024-12
2. The analysis of art design under improved convolutional neural network based on the Internet of Things technology;Scientific Reports;2024-09-10
3. IoT based Dance Movement Recognition Model based on Deep Learning Framework;Scalable Computing: Practice and Experience;2024-02-24
4. Intelligent Motion Capture Technology of Dance Pose Analysis Using Target Deduction and Gaussian Mixture Model;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04
5. TraDance: A dataset for assessing the performance of Greek folk dances recognition models;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17
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