Abstract
The present article discussion on the Sign language recognition which is part of one of the most challenging tasks for Artificial Intelligence (AI) algorithms: camera-based gesture recognition. Probably, hence its relatively novel practical applications despite its old presence in the general AI field due to the required computing power for a device to be able to track complex gestures (like sign languages) just with a camera along with not-ideal light, focus, and stability conditions or even many of them combined. But, reaching acceptable results on mobile devices with this recognition task is even more elusive than doing it on computers (actually, PC-oriented projects are most of the research out there).
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