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Content-Adaptive and Attention-Based Network for Hand Gesture Recognition
2022
Applied Sciences
For hand gesture recognition, recurrent neural networks and 3D convolutional neural networks are the most commonly used methods for learning the spatial–temporal features of gestures. The calculation of the hidden state of the recurrent neural network at a specific time is determined by both input at the current time and the output of the hidden state at the previous time, therefore limiting its parallel computation. The large number of weight parameters that need to be optimized leads to high
doi:10.3390/app12042041
fatcat:whjvcjomtnc55ofubqg6ioessy