https://github.com/zonyitoo/gesturerecognition

Kinect 手势识别。Gesture recognition with Microsoft Kinect. (Bachelor Dissertation Project)
https://github.com/zonyitoo/gesturerecognition

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Kinect 手势识别。Gesture recognition with Microsoft Kinect. (Bachelor Dissertation Project)

• Host: GitHub
• URL: https://github.com/zonyitoo/gesturerecognition
• Owner: zonyitoo
• License: other
• Created: 2014-03-20T09:43:28.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2014-04-24T03:20:54.000Z (over 10 years ago)
• Last Synced: 2024-10-04T13:31:26.428Z (3 months ago)
• Language: Python
• Homepage:
• Size: 281 KB
• Stars: 25
• Watchers: 3
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
-----------------------------------

Gesture Recognition based on Kinect

-----------------------------------

Just for **GRADUATION**.

Aims

====

* Skin detection. ✔︎

* Obtain one hand's contour. ✔︎

* Distinguish hand from head. ✔︎

* Mark finger tips and palm's positions. ✔︎

* Use K-Means algorithm to detect finger tips' positions. ✖︎

* Use bounding polygon to detect finger tips' positions. ✔︎

* Remove points on arm. ✖︎

* Follow finger tips and palm's positions change.✔︎

* Use finite-state machine to define and recognize hand gesture.✖︎

* Improve precision of finger tips and palm's positions.✖︎

* Be able to follow finger tips's movement.✖︎

* Improve performance, avaliability and usability.✖︎

Requirements

============

* Unix/Linux, Microsoft Windows®

* OpenNI 1.x, OpenNI 2.x (Currently OpenNI 2.x only support Windows® Kinect SDK)

* OpenCV >= 3.0.0

* Microsoft® Kinect

* Python2

Build, Install and Run

======================

.. code:: bash

    $ virtualenv .venv

    $ source .venv/bin/activate

    $ ./setup.py build

    $ ./setup.py install

    $ gestrecog

ScreenShots

===========

.. image:: https://raw.githubusercontent.com/zonyitoo/GestureRecognition/master/screenshot.png

Thanks

======

* Directed by `Associate Prof. Qingge Ji `_

* `Open Source Computer Vision Library `_

License

=======

`BSD 3-Clause License `_