Deep-Learning to Map a Benchmark Dataset of Non-Amputee Ambulation for Controlling an Open Source Bionic Leg is a research paper published in IEEE Robotics and Automation Letters (2022). On theSindex it has a DataRank of 0. It has been cited 13 times.
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National Institutes of Health
Grant: 2R01HD079428-05
Intuitive Control of a Hybrid Prosthetic Leg During Ambulation
NICHD NIH HHS
Grant: R01 HD079428
FWCI
0.87
Citation Percentile
0.7%
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