Projects: pypi: yeadon
https://packages.ecosyste.ms/registries/pypi.org/packages/yeadon
Estimates the inertial properties of a human.
11 versions
Latest release: over 3 years ago
442 downloads last month
Enhanced Analysis
Educational Contributors:
cld72@cornell.edu
zqyin@ucdavis.edu
Repository Activity:
Repository Owner:
Christopher Dembia (user)
I am a member of the Stanford Neuromuscular Biomechanics Lab, where I use optimal control methods with musculoskeletal models to improve human mobility. Academic
I am a member of the Stanford Neuromuscular Biomechanics Lab, where I use optimal control methods with musculoskeletal models to improve human mobility. Academic
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+40
Educational commit emails
2 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-10
No science terms in description
No scientific terms found in description
Very Likely Science (100)
Papers Mentioning yeadon 1
10.12688/f1000research.5292.2
An object oriented implementation of the Yeadon human inertia modelCited by: 2
Author(s): Christopher Dembia, Jason K. Moore, Mont Hubbard
Software Mentions: 1
Published: almost 11 years ago