Hand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation implemented in Python
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Updated
Mar 18, 2024 - Python
Hand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation implemented in Python
Celltree data structure for searching for points, lines, boxes, and cells (convex polygons) in a two dimensional unstructured mesh.
Convert video to the bvh motion file
Personal notebook on various maths and coding topics
This repository provides scripts that can be used to visualize BVH files. These scripts were developed for the GENEA Challenge 2020, and enables reproducing the visualizations used for the challenge stimuli. The server consists of several containers which are launched together with the docker-compose.
A Blender add-on for easy creation of proxy meshes for a selected armature object
A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
Automatic motion generator from existing amc and asf files or bvh file
Classification of movement types like walking, running using motion capture(BVH) file from CMU dataset.
visualize BVH file skeletons using graphviz
Python module to import, parse and elaborate BVH files
Python utilities for reading and rendering Biovision Hierarchy skeleton and motion capture data
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