From: biswesh panda <[email protected]> Reply-To: "[email protected]" <[email protected]> Date: Thursday, December 18, 2014 at 10:59 AM To: "[email protected]" <[email protected]> Subject: [beagleboard] Gesture Recognition System
> I am working on a project where I'm trying to capture different kinds of > gestures that mute people generally make and try to link it to a audio file > which conveys the meaning of that particular gesture. I'm using opencv for > computer vision applications and BeagleBone Black. Can you tell me which edge > detection algorithms will be best suited for me? The challenge that I may face > are- > 1) The color intensity of the hand may match with that of the sourrounding. > 2) There's no guarantee that the background will be moving or will it be in a > standstill. > > Another thing is the efficiency of the algorithm should be fast so as to > recognize the gestures quickly. I think the BBB won¹t have the horsepower to do what you want. The next product called BeagleBoard-X15 will be more suitable for this application and is scheduled for release sometime in Feb 2015. Regards, John > > > -- > For more options, visit http://beagleboard.org/discuss > --- > You received this message because you are subscribed to the Google Groups > "BeagleBoard" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. -- For more options, visit http://beagleboard.org/discuss --- You received this message because you are subscribed to the Google Groups "BeagleBoard" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
