/gym-human-pose-estimation

This repository is about how to implement your Intel realsense camera for skeleton tracking in Linux system.

gym-human-pose-estimation

This repository is for a project detecting static human joint parameters in the gym. The basic skill used here is called human pose estimation/human skeleton tracking.

There are several ways to accomplish skeleton tracking.
All methods can mainly be divided into two types: RGBD-based and RGB-based.

  • RGBD-based type means getting 3D human joint keypoints from the combination of a 2D image and a depth image.
  • RGB-based type means getting 2D/3D human joint keypoints from a 2D image (with neural networks) and calculating the joint coordinates with depth data.

Here are some tutorials to implement the methods.

Hopefully I can get an EI conference paper for my master's degree with this project.