Automated Author ProfileRAMIREZ CERNA, LOURDES
Universidad de Lima0000-0002-7927-7875
RAMIREZ CERNA, LOURDES
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: 0.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
SIGNO-PERU-FER is a multimodal RGB-D dataset of dynamic Visuo-Gestural Facial Expressions (VGFEs) in Peruvian Sign Language (LSP), designed to support research on non-manual sign language recognition, multimodal facial behavior modeling, and inclusive AI systems. It comprises 1,256 synchronized RGB-D video sequences from 16 native LSP signers across 14 VGFE categories selected for their visual similarity and classification challenges. Each sequence includes RGB video (1920×1080, 30 fps), depth maps (512×512), and 468 3D facial landmark points captured with an Azure Kinect DK under controlled laboratory conditions.#Category#Category1Annoyed8No2Bored9Sad3Crying10Smells bad4Disgust11Surprise5Happy12Thief6I don't know13Tired7Let's see14YesThe SIGNO-PERU-FER dataset is archived in Zenodo under restricted access due to the re-identification risk inherent to audiovisual recordings. Access is provided via Zenodo's access-request workflow and requires acceptance of the SIGNO-PERU-FER Data Use Agreement (DUA), which includes named-user registration and data protection terms. To request access, download theSIGNO-PERU-FER_AccessRequestForm_DUAfrom this record, complete it, and email the signed form to [email protected] or [email protected].
Authors
- Escobedo Cardenas, Edwin ;
- RAMIREZ CERNA, LOURDES
SIGNO-PERU-FER is a multimodal RGB-D dataset of dynamic Visuo-Gestural Facial Expressions (VGFEs) in Peruvian Sign Language (LSP), designed to support research on non-manual sign language recognition, multimodal facial behavior modeling, and inclusive AI systems. It comprises 1,256 synchronized RGB-D video sequences from 16 native LSP signers across 14 VGFE categories selected for their visual similarity and classification challenges. Each sequence includes RGB video (1920×1080, 30 fps), depth maps (512×512), and 468 3D facial landmark points captured with an Azure Kinect DK under controlled laboratory conditions.#Category#Category1Annoyed8No2Bored9Sad3Crying10Smells bad4Disgust11Surprise5Happy12Thief6I don't know13Tired7Let's see14YesThe SIGNO-PERU-FER dataset is archived in Zenodo under restricted access due to the re-identification risk inherent to audiovisual recordings. Access is provided via Zenodo's access-request workflow and requires acceptance of the SIGNO-PERU-FER Data Use Agreement (DUA), which includes named-user registration and data protection terms. To request access, download theSIGNO-PERU-FER_AccessRequestForm_DUAfrom this record, complete it, and email the signed form to [email protected] or [email protected].
Authors
- Escobedo Cardenas, Edwin ;
- RAMIREZ CERNA, LOURDES