Automated Author ProfileJeong, Heejin
Jeong, Heejin
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
This dataset comprises time-series posture estimation data collected from 34 participants performing three represenative culinary tasks: slicing, chopping, and sawing. Each participant’s data is organized into three CSV files, one for each task, capturing detailed positional information of 33 body landmark points using the MediaPipe framework. The data for each landmark includes x, y, and z coordinates, corresponding to the participant's body position in each recorded frame, at a frequency of 30 frames per second. The dataset can be used for studying human motion, for example in occupational settings, where posture analysis is important for understanding ergonomic risks and improving task performance.
Authors
- Iyer, Hari ;
- Jeong, Heejin