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Neuro-Robotics

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Cover of 'Neuro-Robotics'

Table of Contents

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    Book Overview
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    Chapter 1 A Learning Scheme for EMG Based Interfaces: On Task Specificity in Motion Decoding Domain
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    Chapter 2 State of the Art and Perspectives of Ultrasound Imaging as a Human-Machine Interface
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    Chapter 3 Considering Limb Impedance in the Design and Control of Prosthetic Devices
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    Chapter 4 Multi-axis Capability for Powered Ankle-Foot Prostheses
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    Chapter 5 Mimicking Human-Like Leg Function in Prosthetic Limbs
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    Chapter 6 Multi-directional Dynamic Mechanical Impedance of the Human Ankle; A Key to Anthropomorphism in Lower Extremity Assistive Robots
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    Chapter 7 Development of the Quantified Human
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    Chapter 8 Effective Neural Representations for Brain-Mediated Human-Robot Interactions
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    Chapter 9 Assisted Computer Interaction for Users with Weak Upper Limb Motion
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    Chapter 10 Robotic Systems for Gait Rehabilitation
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    Chapter 11 Enhancing Recovery of Sensorimotor Functions: The Role of Robot Generated Haptic Feedback in the Re-learning Process
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    Chapter 12 Robotic Assistance for Cerebellar Reaching
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    Chapter 13 A Human Augmentation Approach to Gait Restoration
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    Chapter 14 Home-Based Rehabilitation: Enabling Frequent and Effective Training
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    Chapter 15 Unilateral and Bilateral Rehabilitation of the Upper Limb Following Stroke via an Exoskeleton
Attention for Chapter 4: Multi-axis Capability for Powered Ankle-Foot Prostheses
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Citations

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5 Mendeley
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Chapter title
Multi-axis Capability for Powered Ankle-Foot Prostheses
Chapter number 4
Book title
Neuro-Robotics
Published by
Springer, Dordrecht, January 2014
DOI 10.1007/978-94-017-8932-5_4
Book ISBNs
978-9-40-178931-8, 978-9-40-178932-5
Authors

Evandro M. Ficanha, Mohammad Rastgaar, Kenton R. Kaufman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Engineering 3 60%
Computer Science 1 20%
Unknown 1 20%