Abstract
This paper proposes a method of classification and representations for touch gestures based on meta-action and defines a set of stroke touch gestures for Human-Machine Interaction(HMI).A method of touch gesture training and recognition is presented based on RBF neural network.Experiment results show that the proposed method is reliable and efficient for the training and recognition of touch gestures,and can provide a more natural and intuitive human-machine interaction for devices with touch screen.
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