We introduce a novel multimodal emotion recognition dataset designed to enhance the precision of valence-arousal modeling while incorporating individual differences. This dataset includes ...

WEMAC is a unique open multi-modal dataset that comprises physiological, speech, and self-reported emotional data records of 100 women, targeting Gender-based Violence detection. Emotions were ...

Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling ...

In recent decades, the use of video datasets such as wildlife cameras or lab videos has become one of the most important tools for the study of animal behavior. These datasets help researchers make ...