English

ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation

Computer Vision and Pattern Recognition 2024-08-01 v1 Computation and Language Computers and Society

Abstract

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.

Keywords

Cite

@article{arxiv.2407.17772,
  title  = {ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation},
  author = {Rita Frieske and Bertram E. Shi},
  journal= {arXiv preprint arXiv:2407.17772},
  year   = {2024}
}