Gesture Recognition

Theory and Applications

Häftad, Engelska, 2024

Av Qiguang Miao, Yunan Li, Xiangzeng Liu, Ruyi Liu

2 199 kr

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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.

  • Focuses on the theory and application of gesture recognition, providing a systematic introduction to commonly used datasets in the field as well as algorithms based on handcrafted features, convolutional neural networks, multimodal fusion, and attention mechanisms
  • Introduces the practical applications of gesture recognition in real-world scenarios, enabling readers to enhance their practical application skills while learning about relevant technologies
  • Demonstrates four main categories of gesture recognition methods and analyzes their associated challenges

Produktinformation

  • Utgivningsdatum2024-07-11
  • Mått152 x 229 x 15 mm
  • Vikt370 g
  • FormatHäftad
  • SpråkEngelska
  • Antal sidor224
  • FörlagElsevier Science
  • ISBN9780443289590

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