Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

Automatic affect recognition in real-world environments is an important task towards a
natural interaction between humans and machines. The recent years, several …

What if emotion could be captured in a general and subject-agnostic fashion? Is it possible,
for instance, to design general-purpose representations that detect affect solely from the …

Is it possible to predict the affect of a user just by observing her behavioral interaction
through a video? How can we, for instance, predict a user's arousal in games by merely …

Speech emotion recognition is a crucial problem manifesting in a multitude of applications
such as human computer interaction and education. Although several advancements have …

Emotions are fundamental part of human interactions. Emotion recognition is the approach
of discovering human emotions. Generally, emotion recognition is done using text, speech …

Multimodal Sentiment Analysis in Real-life Media (MuSe) 2020 is a Challenge-based
Workshop focusing on the tasks of sentiment recognition, as well as emotion-target …

This paper proposes an automated approach for construction worker activity recognition by
integrating video and acceleration data, employing a decision-level fusion method that …

Emotion recognition is one of the machine learning applications which can be done using
text, speech, or image data gathered from social media spaces. Detecting emotion can help …

The primary direction of most of the research done so far on the effects of Lockdown due to
pandemic have been limited to areas such as clinical studies, possible impact on the global …