3D Hand Posture Estimation with Forearm Image Using Single Camera

Abstract

In the authors' previous systems for estimating human hand position, it was difficult to estimate with high accuracy without holding the hand still. The inability of such systems to work with a moving hand position reduces the convenience and applicability of the system in different situations. Our system therefore uses an easier algorithm based on image aspects of input hand images. This system can extract the hand area from a hand and arm with high speed and high accuracy. The system is constructed to find and match similar hand images from a large database with high speed and high accuracy and to search for similarities with the image features used. Experimental results using a high-speed camera and a notebook computer showed that the system can estimate 3D hand position and wrist flex and rotation movements with high accuracy. The averaged estimation error was −2.11 degrees and the standard deviation of the estimation error was±14.14 degrees.