AffectiVR is a comprehensive dataset designed for the identification of individuals through periocular recognition and the evaluation of emotional states in terms of valence and arousal within a virtual reality (VR) environment. This dataset aims to facilitate research and development in VR-based emotional analysis and biometric identification.
Seok, C.; Park, Y.; Baek, J.; Lim, H.; Roh, J.-h.; Kim, Y.; Kim, S.; Lee, E.C. AffectiVR: A Database for Periocular Identification and Valence and Arousal Evaluation in Virtual Reality. Electronics 2024, 13, 4112. https://doi.org/10.3390/electronics13204112
- Chaelin Seok
- Hyeji Lim
- Yeongje Park
- Junho Baek
- Email: chaelin9905@gmail.com
Since this dataset can only be used for academic purposes, you must request permission by email (chaelin9905@gmail.com) to use this dataset.
The structure of the AffectiVR dataset is illustrated below:
Below is an example from the AffectiVR dataset:
The preprocessing step involves pupil detection, for which we use the model from Pupil Locator on GitHub.
The technical verification utilizes a model detailed in this IEEE paper. While the code is not publicly shared, requests for access can be considered via email.
Follow the steps outlined in this document to run the baseline models and evaluate the dataset.
For additional information or to request code access, please contact us via the email provided above.