interactionmodel

This git repository contains supplementary material to the Doctoral Dissertation of Joe David, "A Design Science Research Approach to Architecting and Developing Information Systems for Collaborative Manufacturing: A Case for Human-Robot Collaboration".

https://github.com/joedavidbuilds/interactionmodel

Science Score: 26.0%

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Repository

This git repository contains supplementary material to the Doctoral Dissertation of Joe David, "A Design Science Research Approach to Architecting and Developing Information Systems for Collaborative Manufacturing: A Case for Human-Robot Collaboration".

Basic Info
  • Host: GitHub
  • Owner: joedavidbuilds
  • License: apache-2.0
  • Language: C++
  • Default Branch: master
  • Homepage:
  • Size: 236 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 5 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Contributing License Citation

README.md

Interaction Model

License Bazel

This git repository contains supplementary material to the Doctoral Dissertation of Joe David, "A Design Science Research Approach to Architecting and Developing Information Systems for Collaborative Manufacturing: A Case for Human-Robot Collaboration".

Note: For other (dissertation) related git repositories, see the meta git repository here.

Note: A large part of this repository is a clone of Google's Mediapipe and is only extended to suit the dissertation context.

Pre-requisites

Getting Started

  • Include a libfreenect2.BUILD in the root directory.

  • Configure libfreenect2 in the WORKSPACE in the root directory as an external dependency. Edit the below part to point to the directory where the libfreenect2 files are. new_local_repository( name = "libfreenect2", build_file = "libfreenect2.BUILD", path = "/home/joe/Desktop/freenect2", )

  • The MediaPipe graph used for the implementation can be found in mediapipe/graphs/hand_tracking.

  • The HandLandMarkTrackingGpu node detects the operators hand. The HandRenderer node outputs the live feed overlayed with the hand detection (as shown in Fig. below); it serves no other function

The foregoing nodes are both part of the existing implementation of MediaPipe hands and reused directly.

Helpful resources

Citation

Under the included LICENSE, if you use or extend the application developed as part of the dissertation only, especially in an academic context, please cite. You can click "Cite this repository" on the right sidebar to copy both APA and BibTeX formatted citation.

Owner

  • Name: Joe David
  • Login: joedavidbuilds
  • Kind: user
  • Location: Tampere, Finland
  • Company: Tampere University

Postdoctoral Research Fellow at Tampere University: PhD Mechanical Eng (NTNU), Dr. Tech Production Eng (TaU), MSc. Automation Eng. BTech. Electrical Eng.

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