Gesture Recognition

Theory and Applications

Qiguang Miao, Yunan Li, Xiangzeng Liu, Ruyi Liu

• Publisher: Elsevier
• Year: 2024
• Print ISBN:
  9780443289590
• eBook ISBN:
  9780443289606
• Topic: Design
• Subtopic: Human-Computer Interaction

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

Table of contents

• Cover
• Title page
• Table of Contents
• Copyright
• Contents
• List of Illustrations
• List of Tables
• Chapter 1 : Basic concepts and development of gesture recognition
• Chapter 2 : Common datasets in the field of gesture recognition
• Chapter 3 : Gesture recognition method based on handicraft features
• Chapter 4 : Gesture recognition method based on convolutional neural network
• Chapter 5 : Enhancing gesture recognition with advanced recurrent neural networks and memory networks
• Chapter 6 : Gesture recognition method based on multimodal data fusion
• Chapter 7 : Gesture recognition and attention mechanisms
• Chapter 8 : Gesture recognition-based human–computer interaction cases
• Chapter 9 : Exploring development of gesture recognition for future human–computer interaction applications
• Index
• A