A Data-Driven Approach to Estimate Human Center of Mass State During Perturbed Locomotion Using Simulated Wearable Sensors is a research paper published in Annals of Biomedical Engineering (2024). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
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Base Score Contribution
0.292
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Science Foundation
Grant: 1324585
Graduate Research Fellowship Program (GRFP)
National Science Foundation
Grant: 1545287
NRT: Accessibility, Rehabilitation, and Movement Science (ARMS): An Interdisciplinary Traineeship Program in Human-Centered Robotics
College of Engineering, Georgia Institute of Technology
Grant: Petit Scholarship
National Institutes of Health
Grant: DP2-HD111709
NICHD NIH HHS
Grant: DP2 HD111709
National Institutes of Health
Grant: 4DP2HD111709-02
A new framework for self-adaptive artificial intelligence to personalize assistance for patients using robotic exoskeletons and prostheses
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