What is best to use for hand gesture recognition for the mute people?
We are working on a project where we're trying to detect the hand gestures of the mute people. Can you tell the best and the fastest way for that? Is it the canny or using classifiers or background subtraction? Please comment. Your help is much valuable for our team.
Basically just skip the complete canny and background subtraction approach. Your problem is quite difficult and there is still extensive research on the topic. Are you in the ability to collect depth information? If so then there are quite robust algorithms. If you only have 2D information, take a look at the work of my collegue who is applying hand detection and tracking in eye tracker data. The paper will be presented in March and will then be put online.
You could try to get in contact with someone from Intel so that they send you a new realsense 3d-camera. The camera will be integrated into laptops this year and Intel is currently looking for show cases.
@FooBar is there a website where you can apply show cases? Very interested to share this with some of my collegues!