Integrating Facial Expression and Body Gesture in Videos for Emotion Recognition
Author:
Affiliation:
1. School of Information Science and Engineering, Southeast University
2. Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Center for Learning Science, Southeast University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E97.D/3/E97.D_610/_pdf
Reference24 articles.
1. [1] I. Laptev and T. Lindeberg, “Space-time interest points,” ICCV, pp.432-439, 2003.
2. [2] P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie, “Behavior recognition via sparse spatiotemporal features,” VS-PETS, pp.65-72, 2005.
3. [3] S. Chen, Y. Tian, Q. Liu, and D.N. Metaxas, “Recognizing expressions from face and body gesture by temporal normalized motion and appearance features,” IEEE Int'l Conf. Computer Vision and Pattern Recognition workshop for Human Communicative Behavior Analysis, pp.7-12, 2011.
4. [4] C. Shan and R. Braspenningn, Part IV. Recognizing Facial Expressions Automatically from Video, Handbook of Ambient Intelligence and Smart Environments, Springer, 2010.
5. [5] H. Gunes, M. Piccardi, and M. Pantic, “Affective computing: focus on emotion expression, synthesis, and recognition,” Austria: InTech Education and Publishing, chap 10. From the Lab to the Real World: Affect Recognition Using Multiple Cues and Modalities, 2008.
Cited by 32 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. EEG emotion recognition based on data-driven signal auto-segmentation and feature fusion;Journal of Affective Disorders;2024-09
2. EEG Emotion Recognition Based on Dynamical Graph Attention Network;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
3. Learning facial expression and body gesture visual information for video emotion recognition;Expert Systems with Applications;2024-03
4. An Improved Canonical Correlation Analysis for EEG Inter-Band Correlation Extraction;IFMBE Proceedings;2024
5. Dual-stream framework for image-based heart infarction detection using convolutional neural networks;Soft Computing;2023-12-29
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