  ERIT is a novel multimodal dataset designed to facilitate research in a
lightweight multimodal fusion. It contains text and image data collected from
videos of elderly individuals reacting to various situations, as well as seven
emotion labels for each data sample. Because of the use of labeled images of
elderly users reacting emotionally, it is also facilitating research on emotion
recognition in an underrepresented age group in machine learning visual emotion
recognition. The dataset is validated through comprehensive experiments
indicating its importance in neural multimodal fusion research.
