Automated Author ProfileFederico Sukno
Federico Sukno
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
"The Contactless Affective States Through Physiological Signals Database (CASTPhys) is a high-quality, multimodal dataset specifically developed for remote emotion recognition using both facial and physiological indicators. It features a diverse range of physiological signals, including photoplethysmography (PPG), electrodermal activity (EDA), and respiration rate (RR), along with high-resolution, uncompressed facial video recordings that support remote signal recovery. The dataset contains 1,080 facial videos alongside the corresponding physiological data collected from 60 participants, each of whom annotated 18 emotional video stimuli using self-reported valence and arousal ratings."
Authors
- Joaquim Comas Martínez ;
- Alexander Joel Vera ;
- Xavier Vives ;
- Eleonora De Filippi ;
- Federico Sukno ;
- Alexandre Pereda