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Gesture Recognition

Overview of attention for book
Cover of 'Gesture Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Challenges in Multi-modal Gesture Recognition
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    Chapter 2 Human Gesture Recognition on Product Manifolds
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    Chapter 3 Sign Language Recognition Using Sub-units
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    Chapter 4 MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures with Low Probability of False Positives During Use
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    Chapter 5 Language-Motivated Approaches to Action Recognition
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    Chapter 6 A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives
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    Chapter 7 Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs
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    Chapter 8 Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos
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    Chapter 9 Discriminative Hierarchical Part-Based Models for Human Parsing and Action Recognition
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    Chapter 10 Keep It Simple and Sparse: Real-Time Action Recognition
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    Chapter 11 One-Shot Learning Gesture Recognition from RGB-D Data Using Bag of Features
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    Chapter 12 One-Shot-Learning Gesture Recognition Using HOG-HOF Features
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    Chapter 13 Multi-layered Gesture Recognition with Kinect
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    Chapter 14 Bayesian Co-Boosting for Multi-modal Gesture Recognition
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    Chapter 15 Transfer Learning Decision Forests for Gesture Recognition
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    Chapter 16 Multimodal Gesture Recognition via Multiple Hypotheses Rescoring
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    Chapter 17 The Gesture Recognition Toolkit
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    Chapter 18 Robust Online Gesture Recognition with Crowdsourced Annotations
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    Chapter 19 Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey
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Title
Gesture Recognition
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-57021-1
ISBNs
978-3-31-957021-1, 978-3-31-957020-4
Editors

Sergio Escalera, Isabelle Guyon, Vassilis Athitsos

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Student > Master 4 22%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Researcher 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 13 72%
Social Sciences 1 6%
Engineering 1 6%
Unknown 3 17%