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 | 1 | initial version |
If you accept suggestions, I would recommend you to use an RGB-D camera (like Kinect) it will make your life a lot easier on hand segmentation.
You can take a look at this paper:
"Both-hand Gesture Recognition Based on KOMSM with Volume Subspaces for Robot Teleoperation". Peris et al. IEEE-CYBER 2012.
What is done there basically is to use OpenNI library to track the user's skeleton and use the location of the hand joints to accurately segment the hands and input them to a classifier for gesture recognition.
Good luck!
| | 2 | No.2 Revision |
If you accept suggestions, I would recommend you to use an RGB-D camera (like Kinect) it will make your life a lot easier on hand segmentation.
You can take a look at this paper:
What is done there basically is to use OpenNI library to track the user's skeleton and use the location of the hand joints to accurately segment the hands and input them to a classifier for gesture recognition.
Good luck!
| | 3 | No.3 Revision |
If you accept suggestions, I would recommend you to use an RGB-D camera (like Kinect) it will make your life a lot easier on hand segmentation.
You can take a look at this paper:
"Both-hand Gesture Recognition Based on KOMSM with Volume Subspaces for Robot Teleoperation". Peris et al. IEEE-CYBER 2012.
What is done there basically is to use OpenNI library to track the user's skeleton and use the location of the hand joints to accurately segment the hands and input them to a classifier for gesture recognition.
Good luck!