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The Springer Series on Challenges in Machine Learning

Gesture Recognition

Editors: Escalera, Sergio, Guyon, Isabelle, Athitsos, Vassilis (Eds.)

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  • Gives readers a comprehensive analysis on gesture recognition, defining a new taxonomy for the field
  • Focusses on supervised machine learning methods for gesture recognition
  • Presents an open-source C++ library for real-time gesture recognition
  • Reviews recent research involving deep learning architectures in order to deal with gesture and action recognition problems
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eBook $109.00
price for USA in USD
  • ISBN 978-3-319-57021-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
Softcover $139.99
price for USA in USD
About this book

This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Challenges in Multi-modal Gesture Recognition

    Pages 1-60

    Escalera, Sergio (et al.)

  • Human Gesture Recognition on Product Manifolds

    Pages 61-87

    Lui, Yui Man

  • Sign Language Recognition Using Sub-units

    Pages 89-118

    Cooper, Helen (et al.)

  • MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures with Low Probability of False Positives During Use

    Pages 119-154

    Kohlsdorf, Daniel Kyu Hwa (et al.)

  • Language-Motivated Approaches to Action Recognition

    Pages 155-181

    Malgireddy, Manavender R. (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-319-57021-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
Softcover $139.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Gesture Recognition
Editors
  • Sergio Escalera
  • Isabelle Guyon
  • Vassilis Athitsos
Series Title
The Springer Series on Challenges in Machine Learning
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-57021-1
DOI
10.1007/978-3-319-57021-1
Hardcover ISBN
978-3-319-57020-4
Softcover ISBN
978-3-319-86059-6
Series ISSN
2520-131X
Edition Number
1
Number of Pages
XII, 578
Number of Illustrations
44 b/w illustrations, 170 illustrations in colour
Topics