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Recent Advances in the 3D Physiological Human

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Cover of 'Recent Advances in the 3D Physiological Human'

Table of Contents

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    Book Overview
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    Chapter 1 Musculoskeletal Simulation Model Generation from MRI Data Sets and Motion Capture Data
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    Chapter 2 GeomCell
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    Chapter 3 Tracking Organs Composed of One or Multiple Regions Using Geodesic Active Region Models
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    Chapter 4 Human Hand Kinematic Modeling Based on Robotic Concepts for Digit Animation with Dynamic Constraints
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    Chapter 5 Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model
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    Chapter 6 Interactive Simulation of Diaphragm Motion Through Muscle and Rib Kinematics
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    Chapter 7 Toward Anatomical Simulation for Breath Training in Mind/Body Medicine
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    Chapter 8 Simulating the Human Motion Under Functional Electrical Stimulation Using the HuMAnS Toolbox
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    Chapter 9 Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware
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    Chapter 10 A Physics-Based Modeling and Real-Time Simulation of Biomechanical Diffusion Process Through Optical Imaged Alveolar Tissues on Graphical Processing Units
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    Chapter 11 Estimating Hip Joint Contact Pressure from Geometric Features
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    Chapter 12 Rapid Impingement Detection System with Uniform Sampling for Ball-and-Socket Joint
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    Chapter 13 Recent Advances in the 3D Physiological Human
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    Chapter 14 OMOGENIA: A Semantically Driven Collaborative Environment
Attention for Chapter 11: Estimating Hip Joint Contact Pressure from Geometric Features
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Chapter title
Estimating Hip Joint Contact Pressure from Geometric Features
Chapter number 11
Book title
Recent Advances in the 3D Physiological Human
Published in
ADS, January 2009
DOI 10.1007/978-1-84882-565-9_11
Book ISBNs
978-1-84882-564-2, 978-1-84882-565-9
Authors

Ehsan Arbabi, Salman Chegini, Ronan Boulic, Stephen J Ferguson, Daniel Thalmann

Editors

Nadia Magnenat-Thalmann, Jian J. Zhang, David D. Feng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Bachelor 1 25%
Lecturer > Senior Lecturer 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Computer Science 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%