对语音情感识别的研究现状和进展进行了归纳和总结, 对未来语音情感识别技术发展趋势进行了
展望. 从5 个角度逐步展开进行归纳总结, 即情感描述模型, 具有代表性的情感语音库 …

Human emotional and cognitive states evolve with variable intensity and clarity through the
course of social interactions and experiences, and they are continuously influenced by a …

Regression problems are pervasive in real-world applications. Generally a substantial
amount of labeled samples are needed to build a regression model with good …

A closed-loop system that offers real-time assessment and manipulation of a user's affective
and cognitive states is very useful in developing adaptive environments which respond in a …

Emotion recognition has been an active research area with both wide applications and big
challenges. This paper presents our effort for the Audio/Visual Emotion Challenge …

How should affect be appropriately annotated and how should machine learning best be
employed to map manifestations of affect to affect annotations? What is the use of ratings of …

One big challenge that hinders the transition of brain-computer interfaces (BCIs) from
laboratory settings to real-life applications is the availability of high-performance and robust …

Improving the interaction between artificial systems and their users is an important issue in
artificial intelligence. In current trends in social robotics, this is accomplished by making such …

We address the problem of tracking continuous levels of a participant's activation, valence
and dominance during the course of affective dyadic interactions, where participants may be …

Brain-computer interaction (BCI) and physiological computing are terms that refer to using
processed neural or physiological signals to influence human interaction with computers …