One prerequisite assumption of EmoCue-360 is that the human-annotated data used for evaluation must be of sufficiently high quality and capable of covering all major emotional cues present in the vide
This dataset contains features extracted from EDA, PPG and eye tracking signals as well as the labels for ground truth emotions. The signals were recorded while participants watched affective visual s
This dataset is a visual (audio-video) resource created for bimodal emotion recognition. It is compiled from three major sources: CREMA-D (Crowd-sourced Emotional Multimodal Actors Dataset) RAVDES
