1.Download and Extract the openpose-1.3.0-win64-gpu-binaries zip file: https://github.com/CMU-Perceptual-Computing-Lab/openpose/releases/download/v1.3.0/openpose-1.3.0-win64-gpu-binaries.zip

2. Double click on models/getModels.bat to download the required body, face, and hand models.

3. Move Server.java to the openpose directory

4.Compile the Server.java

5.Run the java Server

6.Compile and Build android studio project

7.Open app and take a photo

8. Check all the info in:

   • https://github.com/CMU-Perceptual-Computing-Lab/openpose/tree/v1.3.0

9. Specially, the quick start guide:

   • https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/v1.3.0/doc/quick_start.md

Android studio project using androidstudio 3.0.1

This application was published in Webmedia 2019, to cite this work, use:

@inproceedings{de2019ergonomic,
  title={An ergonomic evaluation method using a mobile depth sensor and pose estimation},
  author={de Freitas, Pedro Vinicius A and Mendes, Paulo Renato C and Busson, Antonio Jos{\'e} G and Guedes, {\'A}lan Livio V and Silva, Giovanni Lucca F da and de Paiva, Anselmo Cardoso and Colcher, S{\'e}rgio},
  booktitle={Proceedings of the 25th Brazillian Symposium on Multimedia and the Web},
  pages={445--452},
  year={2019}
}