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Modelling Human Motion

Overview of attention for book
Modelling Human Motion
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Human Motion: A Task at the Crossroads of Neuroscience, Computer Vision and Robotics
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    Chapter 2 The Neurophysiology of Action Perception
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    Chapter 3 Beyond Automatic Motor Mapping: New Insights into Top-Down Modulations on Action Perception
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    Chapter 4 The Visual Perception of Biological Motion in Adults
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    Chapter 5 The Development of Action Perception
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    Chapter 6 The Importance of the Affective Component of Movement in Action Understanding
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    Chapter 7 Optical Flow Estimation in the Deep Learning Age
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    Chapter 8 Spatio-Temporal Action Instance Segmentation and Localisation
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    Chapter 9 Vision During Action: Extracting Contact and Motion from Manipulation Videos—Toward Parsing Human Activity
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    Chapter 10 Human Action Recognition and Assessment Via Deep Neural Network Self-Organization
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    Chapter 11 Movement Expressivity Analysis: From Theory to Computation
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    Chapter 12 The Practice of Animation in Robotics
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    Chapter 13 Adapting Movements and Behaviour to Favour Communication in Human-Robot Interaction
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    Chapter 14 Expressivity Comes First, Movement Follows: Embodied Interaction as Intrinsically Expressive Driver of Robot Behaviour
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    Chapter 15 Gestures in Educational Behavior Coordination. Grounding an Enactive Robot-Assisted Approach to Didactics
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    Chapter 16 Priming and Timing in Human-Robot Interactions
Attention for Chapter 1: Modeling Human Motion: A Task at the Crossroads of Neuroscience, Computer Vision and Robotics
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Chapter title
Modeling Human Motion: A Task at the Crossroads of Neuroscience, Computer Vision and Robotics
Chapter number 1
Book title
Modelling Human Motion
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-46732-6_1
Book ISBNs
978-3-03-046731-9, 978-3-03-046732-6
Authors

Nicoletta Noceti, Alessandra Sciutti, Francesco Rea

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Ph. D. Student 2 29%
Professor > Associate Professor 1 14%
Student > Master 1 14%
Readers by discipline Count As %
Engineering 4 57%
Chemistry 1 14%
Neuroscience 1 14%
Unknown 1 14%

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