Prototype-setup was designed-by the scientists at Tokyo Institute of Technology, working with colleagues of Carnegie Mellon University (US), University of St. Andrews (Scotland) & University of latest South Wales (Australia).
It incorporates a little computer-linked video camera, which is attached to the upper end of a cuff on the user’s wrist. That camera points towards forward, getting a dorsal-view of the hand. For the foremost part, the fingers aren’t even within the shot.
As video is analyzed by a neural network referred to as DorsalNet, subtle yet the distinctive changes within the contours of rear of the hand are matched up to corresponding finger movements. Like this, the system is in a position to determine the user’s 3D“hand pose” in real time.
Technology has proven to be 75% accurate at detecting from 11 different grasp-positions. These numbers should rise because system is developed further, which include increasing its sensitivity by taking a camera with a better frame rate.
Ultimately, the setup might be incorporated into a tool like a smartwatch. It could then be used in applications like one-handed control of computers or tracking of users hands in VR environments.