Automated Author ProfileBenezeth, Yannick
Benezeth, Yannick
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: 4.8 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The UBFC-Phys dataset is a public multimodal dataset dedicated to psychophysiological studies. 56 participants followed a three-step experience where they lived social stress through a rest task T1, a speech task T2 and an arithmetic task T3. During the experience, the participants were filmed and were wearing a wristband that measured their Blood Volume Pulse (BVP) and ElectroDermal Activity(EDA) signals. Before the experience started and once it finished, the participants filled a form allowing to compute their self-reported anxiety scores. The dataset contains video recordings and BVP / EDA signals of participants measured during the three tasks, as well as their anxiety scores computed before and after the experience sessions.
Authors
- Meziati Sabour, Rita ;
- Benezeth, Yannick ;
- De Oliveira, Pierre ;
- Chappé, Julien
The UBFC-Phys dataset is a public multimodal dataset dedicated to psychophysiological studies. 56 participants followed a three-step experience where they lived social stress through a rest task T1, a speech task T2 and an arithmetic task T3. During the experience, the participants were filmed and were wearing a wristband that measured their Blood Volume Pulse (BVP) and ElectroDermal Activity(EDA) signals. Before the experience started and once it finished, the participants filled a form allowing to compute their self-reported anxiety scores. The dataset contains video recordings and BVP / EDA signals of participants measured during the three tasks, as well as their anxiety scores computed before and after the experience sessions.
Authors
- Meziati, Rita ;
- Benezeth, Yannick ;
- De Oliveira, Pierre ;
- Chappé, Julien ;
- Yang, Fan
The UBFC-Phys dataset is a public multimodal dataset dedicated to psychophysiological studies. 56 participants followed a three-step experience where they lived social stress through a rest task T1, a speech task T2 and an arithmetic task T3. During the experience, the participants were filmed and were wearing a wristband that measured their Blood Volume Pulse (BVP) and ElectroDermal Activity(EDA) signals. Before the experience started and once it finished, the participants filled a form allowing to compute their self-reported anxiety scores. The dataset contains video recordings and BVP / EDA signals of participants measured during the three tasks, as well as their anxiety scores computed before and after the experience sessions.
Authors
- Meziati Sabour, Rita ;
- Benezeth, Yannick ;
- De Oliveira, Pierre