A Skeleton Gesture Recognition Method Based on Bidirectional Independent Recurrent Neural Network
A cyclic neural network and gesture recognition technology, which is applied in the field of skeleton gesture recognition based on bidirectional independent cyclic neural network, can solve the problems of gradient explosion of cyclic structure, inability to obtain high accuracy of skeleton gesture recognition tasks, etc., and achieves high accuracy. Effect
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[0031] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0032] A kind of skeleton gesture recognition method based on two-way independent recurrent neural network, comprises the following steps:
[0033] Step 1: Obtain the skeleton gesture dataset and perform preprocessing;
[0034]The DHG data set, a general-purpose skeleton gesture data set, is used to train the neural network; the DHG data set contains 2800 time series of 14 gestures, including grabbing (G), tapping (T), zooming in (E), twisting (P), Rotate clockwise (RC), Rotate counterclockwise (RCC), Swipe right (SR), Swipe left (SL), Swipe (SU), Swipe down (SD), Swipe diagonally (SX ), sliding + (S+), v-shaped sliding (SV), and swinging (SH), a total of fourteen gestures; when distinguishing single-finger gestures and multi-finger gestures, they can be divided into 28 gesture categories; according to the framework based on deep learning The...
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