Emotion recognition in response to traditional and tactile enhanced multimedia using electroencephalography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-018-6907-3.pdf
Reference45 articles.
1. Aftanas L, Reva N, Varlamov A, Pavlov S, Makhnev V (2004) Analysis of evoked eeg synchronization and desynchronization in conditions of emotional activation in humans: Temporal and topographic characteristics. Neurosci Behav Physiol 34(8):859–867
2. Alarcao SM, Fonseca MJ Emotions recognition using eeg signals: a survey. IEEE Trans Affect Comput. https://doi.org/10.1109/TAFFC.2017.2714671
3. Allen JJ, Coan JA, Nazarian M (2004) Issues and assumptions on the road from raw signals to metrics of frontal eeg asymmetry in emotion. Biol Psychol 67(1):183–218
4. Anagnostopoulos C-N, Iliou T, Giannoukos I (2015) Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011. Artif Intell Rev 43 (2):155–177
5. Balconi M, Lucchiari C (2008) Consciousness and arousal effects on emotional face processing as revealed by brain oscillations. A gamma band analysis. Int J Psychophysiol 67(1):41–46
Cited by 29 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. Classification of pleasantness of wind by electroencephalography;PLOS ONE;2024-02-27
2. Selection of odors in multimedia based on correspondence with the odor categories of objects in scenes;2024-02-20
3. EEG emotion recognition framework based on invariant wavelet scattering convolution network;Journal of Ambient Intelligence and Humanized Computing;2024-01-24
4. A hybrid sequential forward channel selection method for enhancing EEG-Based emotion recognition;Journal of Experimental & Theoretical Artificial Intelligence;2024-01-11
5. Enhancing EEG-Based Emotion Recognition Using MultiDomain Features and Genetic Algorithm Based Feature Selection;Lecture Notes in Computer Science;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