Automated facial expression recognition using exemplar hybrid deep feature generation technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08230-9.pdf
Reference61 articles.
1. Ahmed N, Al Aghbari Z, Girija S (2023) A systematic survey on multimodal emotion recognition using learning algorithms. Intell Syst Appl 17:200171
2. Akhand MAH, Roy S, Siddique N, Kamal MAS, Shimamura T (2021) Facial emotion recognition using transfer learning in the deep CNN. Electronics 10:1036
3. Arul Vinayakam Rajasimman M, Manoharan RK, Subramani N, Aridoss M, Galety MG (2023) Robust facial expression recognition using an evolutionary algorithm with a deep learning model. Appl Sci 13:468
4. Canal FZ, Müller TR, Matias JC, Scotton GG, de Sa Junior AR, Pozzebon E et al (2022) A survey on facial emotion recognition techniques: a state-of-the-art literature review. Inf Sci 582:593–617
5. Celniak W, Augustyniak P (2022) Eye-tracking as a component of multimodal emotion recognition systems. In: International conference on information technologies in biomedicine. Springer, pp 66–75
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. An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm;International Journal of Data Science and Analytics;2024-07-08
2. Image-based facial emotion recognition using convolutional neural network on emognition dataset;Scientific Reports;2024-06-23
3. What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors;Information Systems Frontiers;2024-01-17
4. Detection of human sperm cells using deep learning-based object detection methods;PAMUKKALE U J ENG SC;2024
5. Research on Pneumothorax Classification Model of DenseNet Based on Multilayer Network Optimization;Journal of Mathematics;2024-01
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