LERA 2019

2nd Workshop on Large Scale Emotion Recognition and Analysis @ IEEE FG 2019

With the advancement in social computing, multimedia, and sensing technology, the amount of emotionally relevant data has grown enormously. It becomes crucial for the affective computing community to develop new methods for understanding emotion conveyed by the media and the emotion felt by the user at a large scale. This workshop invites researchers to submit their original work proposing methods to create data and new methodologies for large-scale analysis. Much development has been observed in the computer vision community after large-scale databases such as the ImageNet and MS COCO have been released. The second LERA workshop at FG’19 aims to transfer current research focus on small-scale, lab based environment to real-world, large-scale corpus.


Topics for the workshop include but are not limited to:

1. Large scale data collection and annotation

2. Large scale emotion recognition in the wild

3. Big data approaches for emotion recognition

4. Face tracking and affect analysis in videos

5. Group-level emotion recognition

6. Fusion techniques for audio-visual/physiological signals

7. Localization & identification of salient affect signals

8. Applications in education, entertainment & healthcare