Tracking of dynamic hand gestures on a mobile platform
Date
2017-09-08
Authors
Prior, Robert
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Abstract
Hand gesture recognition is an expansive and evolving field. Previous work addresses
methods for tracking hand gestures primarily with specialty gaming/desktop
environments in real time. The method proposed here focuses on enhancing performance
for mobile GPU platforms with restricted resources by limiting memory
use/transfers and by reducing the need for code branches. An encoding scheme has
been designed to allow contour processing typically used for finding fingertips to occur
efficiently on a GPU for non-touch, remote manipulation of on-screen images.
Results show high resolution video frames can be processed in real time on a modern
mobile consumer device, allowing for fine grained hand movements to be detected
and tracked.
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Keywords
Computer Vision, mobile, GPU, hand gesture