情绪是综合了人的感觉, 思想和行为的一种状态, 在人与人的交流中发挥着重要作用.
情绪识别是通过获取人的生理或非生理信号对人的情绪状态进行自动辨别 …

In recent years, automatic emotion recognition renders human–computer interaction
systems intelligent and friendly. Emotion recognition based on electroencephalogram (EEG) …

Emotion recognition refers to the recognition of a person's emotional state through
information such as facial expressions, behavioral actions or physiological signals, and its …

Emotion is a state that comprehensively represents human feeling, thought and behavior,
thus takes an important role in inter-personal human communication. Emotion recognition …

Miner's wearable robot is an important mobile terminal of the monitoring network for the coal
mine production safety. However, it is difficult to find the study on the miner's emotion …

针对如何提高脑电信号情感识别的正确率这一问题, 在得到的原始脑电信号进行分频带特征提取
后, 一方面采用支持向量机, K 近邻算法, 朴素贝叶斯和神经网络算法对小波熵, 近似熵 …

One of the most important problems in virtual environments (VEs) is the difficulty users face
when trying to deal with increasingly complex systems. Thus, giving machines the ability to …

Emotion recognition technology through EEG signal analysis is currently a fundamental
concept in artificial intelligence. This recognition has major practical implications in …

Subject-independent emotion recognitions take full advantage of existing EEG signals to
construct intelligent models, and generalize to other subjects for detecting, differentiating …

面部表情识别是一种直接, 有效的情绪识别模式. 机器学习可以对图像表情进行形式化表征,
但由于缺乏大脑的认知表征能力, 在小样本数据集或复杂表情(伪装) 数据集上的识别性能并不 …