suguke Goto Github PK

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suguke's Projects

literature_update

Performs a search of PubMed for biomechanics-related publications, categorizes them using a machine learning algorithm trained on ~20,000 publications.

machine-learning-vertebral-column-data-set

This Biomedical data set was built by Dr. Henrique da Mota during a medical residence period in Lyon, France. Each patient in the data set is represented in the data set by six biomechanical attributes derived from the shape and orientation of the pelvis and lumbar spine (in this order): pelvic incidence, pelvic tilt, lumbar lordosis angle, sacral slope, pelvic radius and grade of spondylolisthesis. The following convention is used for the class labels: DH (Disk Hernia), Spondylolisthesis (SL), Normal (NO) and Abnormal (AB). In this exercise, we only focus on a binary classification task NO=0 and AB=1.

machine_learning_homework

models

Some biomechanical and robotic models

mvc

Machine learning reduces the amount of necessary maximum voluntary isometric contractions tests of the shoulder muscles

numerical-python-book-code

openma

Library to explore, process, and analyze movement acquisition data

openma-data

Data used for the unit tests

openma-doc

Image of the documentation available on openma.org/docs

orthopedic-patient-analysis

Each patient is represented in the data set by six biomechanical attributes derived from the shape and orientation of the pelvis and lumbar spine. The idea is to use these biomechanical features to classify patients according to their labels.

osim-rl

Reinforcement learning environments with musculoskeletal models

proladon_python_tkinter_tutorial

pupil_ros

This ROS package maps user's gaze data from a Pupil Labs eye tracker, onto a different video feed, using markers, homography, and feature matching. This package is made by T.A.B. De Boer, J. Hoogmoed, N.M. Looye , J.R.P. van der Toorn, and R.P. de Vos as bachelor design project. Delf University of Technology, Mechanical Engineering, department of BioMechanical Engineering.