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Gesture Recognition: Theory and Applications
covers this important topic in computer science and language technology that has a goal of interpreting human gestures via mathematical algorithms.
The book begins by examining the computer vision-based gesture recognition method, focusing on the theory and related research results of various recent gesture recognition technologies.
The book takes the evolutions of gesture recognition technology as a clue, systematically introducing gesture recognition methods based on handcrafted features, convolutional neural networks, recurrent neural networks, multimodal data fusion, and visual attention mechanisms.
Three gesture recognition-based HCI (Human Computer Interaction) practical cases are introduced.
Finally, the book looks at emerging research trends and application.
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