UTas ePrintsRecognition and anticipation of hand motions using a recurrent neural networkPVamplewauthorAAdamsauthorPrevious work in recognition of hand gestures has concentrated on classification of hand shapes, with relatively little work done on hand motions. This paper describes a recurrent neural network which has been trained to classify sixteen different hand trajectories, including relatively complex paths such as circles and back-and-forth motions. The network's ability to anticipate the classification of an incomplete gesture is also examined, and its implications for segmentation of gestures is discussed.280200 Artificial Intelligence and Signal and Image Processing1995Conference or Workshop Item

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