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EEG-Based BCI Emotion Recognition: A Survey.基于脑电的脑机接口情绪识别:综述。
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Arousal Detection in Elderly People from Electrodermal Activity Using Musical Stimuli.使用音乐刺激进行老年人的觉醒度检测。
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Emotion Assessment Using Feature Fusion and Decision Fusion Classification Based on Physiological Data: Are We There Yet?基于生理数据的特征融合和决策融合分类的情绪评估:我们做到了吗?
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Facial Expression Recognition Based on Weighted-Cluster Loss and Deep Transfer Learning Using a Highly Imbalanced Dataset.基于加权聚类损失和深度迁移学习的高度不平衡数据集的面部表情识别。
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The uulmMAC Database-A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction.uulmMAC 数据库——用于人机交互中情感计算的多模态情感语料库。
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EEG based Classification of Long-term Stress Using Psychological Labeling.基于 EEG 的长期应激的分类:心理标记法。
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情绪和压力识别相关传感器和机器学习技术。

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies.

机构信息

Institute for Smart Systems Technologies, Universitaet Klagenfurt, A9020 Klagenfurt, Austria.

Department of Applied Informatics, Universitaet Klagenfurt, 9020 Klagenfurt, Austria.

出版信息

Sensors (Basel). 2021 Mar 24;21(7):2273. doi: 10.3390/s21072273.

DOI:10.3390/s21072273
PMID:33804987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8037255/
Abstract

Intelligent sociotechnical systems are gaining momentum in today's information-rich society, where different technologies are used to collect data from such systems and mine this data to make useful insights about our daily activities [...].

摘要

智能社会技术系统在当今信息丰富的社会中日益普及,各种技术被用来从这些系统中收集数据,并挖掘这些数据,以获得有关我们日常活动的有用见解[... ]。