Automated Author ProfileRealBiomFall
RealBiomFall
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: 2.8 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository holds the video clips and annotations (labels) of "RealBiomFall: A Fine-grained Realistic Fall Dataset from the Perspective of Biomechanics". Currently, we include 100 video clips ("video_clips-trimmed_cropped_padded_resized-100.zip") and their corresponding temporal and semantical annotations ("label-100.zip"). We will release all the data after our paper is accepted.Besides video clips and annotations, we also provide two demo videos ("demo_1.mp4" and "demo_2.mp4") to help to quickly understand our data pattern.
Authors
- RealBiomFall
This repository holds the video clips and annotations of "RealBiomFall: A Fine-grained Realistic Fall Dataset from the Perspective of Biomechanics".Currently, we include 100 video clips ("video_clips-trimmed_cropped_padded_resized-100.zip") and their corresponding temporal and semantical annotations ("label-100.zip"). We will release all the data after our paper is accepted.In "label-100.zip", there are five "*.pkl" files indicating the annotations of provided 100 video clips:labels_temporal_coarse.pkl: including coarse temporal annotations.labels_temporal_finegrained.pkl: including fine-grained temporal annotations.labels_smc_coarse.pkl: including coarse semantical annotations.labels_smc_midlevel.pkl: including mid-level semantical annotations.labels_smc_finegrained.pkl: including fine-grained semantical annotations.For more information about our label formatting, please check the "README.md".Besides video clips and annotations, we also provide two demo videos ("demo_1.mp4" and "demo_2.mp4") to help to quickly understand our data pattern.
Authors
- RealBiomFall
This repository holds the video clips and annotations of "RealBiomFall: A Fine-grained Realistic Fall Dataset from the Perspective of Biomechanics".Currently, we include 100 video clips ("video_clips-trimmed_cropped_padded_resized-100.zip") and their corresponding temporal and semantical annotations ("label-100.zip"). We will release all the data after our paper is accepted.In "label-100.zip", there are five "*.pkl" files indicating the annotations of provided 100 video clips:labels_temporal_coarse.pkl: including coarse temporal annotations.labels_temporal_finegrained.pkl: including fine-grained temporal annotations.labels_smc_coarse.pkl: including coarse semantical annotations.labels_smc_midlevel.pkl: including mid-level semantical annotations.labels_smc_finegrained.pkl: including fine-grained semantical annotations.Besides video clips and annotations, we also provide two demo videos ("demo_1.mp4" and "demo_2.mp4") to help to quickly understand our data pattern.
Authors
- RealBiomFall
This repository holds the video clips and annotations of "RealBiomFall: A Fine-grained Realistic Fall Dataset from the Perspective of Biomechanics".Currently, we include 100 video clips ("video_clips-trimmed_cropped_padded_resized-100.zip") and their corresponding temporal and semantical annotations ("label-100.zip"). We will release all the data after our paper is accepted.In "label-100.zip", there are five "*.pkl" files indicating the annotations of provided 100 video clips:labels_temporal_coarse.pkl: including coarse temporal annotations.labels_temporal_finegrained.pkl: including fine-grained temporal annotations.labels_smc_coarse.pkl: including coarse semantical annotations.labels_smc_midlevel.pkl: including mid-level semantical annotations.labels_smc_finegrained.pkl: including fine-grained semantical annotations.For more information about our label formatting, please check the "README.md".Besides video clips and annotations, we also provide two demo videos ("demo_1.mp4" and "demo_2.mp4") to help to quickly understand our data pattern.
Authors
- RealBiomFall