The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …

Natural language processing (NLP) is a critical part of the digital transformation. NLP
enables user‐friendly interactions between machine and human by making computers …

Visual modality is one of the most dominant modalities for current continuous emotion
recognition methods. Compared to which the EEG modality is relatively less sound due to its …

The early diagnosis of stress symptoms is essential for preventing various mental disorder
such as depression. Electroencephalography (EEG) signals are frequently employed in …

This paper describes a prototype of an intelligent Stress Monitoring Assistant (SMA),-the
next generation of stress detectors. The SMA is intended for the first responders and …

The problem of detecting psychological stress in online posts, and more broadly, of
detecting people in distress or in need of help, is a sensitive application for which the ability …

StressID is a new dataset specifically designed for stress identification fromunimodal and
multimodal data. It contains videos of facial expressions, audiorecordings, and physiological …

Data processing in robotics is currently challenged by the effective building of multimodal
and common representations. Tremendous volumes of raw data are available and their …

In multimodal machine learning, additive late-fusion is a straightforward approach to
combine the feature representations from different modalities, in which the final prediction …

The role of social media in fashion industry has been blooming as the years have continued
on. In this work, we investigate sentiment analysis for fashion related posts in social media …