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Gesture Recognition

Overview of attention for book
Cover of 'Gesture Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  8. Altmetric Badge
    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
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
9 X users

Readers on

mendeley
18 Mendeley
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Title
Gesture Recognition
Published by
The Springer Series on Challenges in Machine Learning, 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

Timeline

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X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2021.
All research outputs
#7,055,883
of 25,992,468 outputs
Outputs from The Springer Series on Challenges in Machine Learning
#1
of 1 outputs
Outputs of similar age
#117,921
of 425,695 outputs
Outputs of similar age from The Springer Series on Challenges in Machine Learning
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 5.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 425,695 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them