A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs is a research paper published in Frontiers in Neurorobotics (2023). On theSindex it has a DataRank of 0. It has been cited 22 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: 2R01HD079428-05
Intuitive Control of a Hybrid Prosthetic Leg During Ambulation
National Institutes of Health
FWCI
1.84
Citation Percentile
0.8%
Influential Citations
2
Citation Trend
Fields of Study
Keywords
Additional file 1 of Generating synthetic gait patterns based on benchmark datasets for controlling prosthetic legs
Additional file 1 of Generating synthetic gait patterns based on benchmark datasets for controlling prosthetic legs
Additional file 3 of Generating synthetic gait patterns based on benchmark datasets for controlling prosthetic legs
Additional file 3 of Generating synthetic gait patterns based on benchmark datasets for controlling prosthetic legs