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Human Interaction with Machines

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Cover of 'Human Interaction with Machines'

Table of Contents

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    Book Overview
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    Chapter 1 Reference Points for the Observation of Systems Behaviour
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    Chapter 2 Efficient Text Categorization Using a Min-Max Modular Support Vector Machine
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    Chapter 3 A Self-healing Protocol Stack Architecture for Bluetooth® Wireless Technology
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    Chapter 4 From Keyframing to Motion Capture
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    Chapter 5 Multi-Modal Machine Attention: Sound Localization and Visual-Auditory Signal Synchronization
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    Chapter 6 A note on the Berlin Brain-Computer Interface
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    Chapter 7 Segmentation of Brain MR Images Using Local Multi-Resolution Histograms
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    Chapter 8 EMG-Driven Human Model for Orthosis Control
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    Chapter 9 Virtual Information Center for Human Interaction
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    Chapter 10 Reduced Human Interaction via Intelligent Machine Adaptation
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    Chapter 11 A Novel Watershed Method Using Reslice and Resample Image
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    Chapter 12 Stable Motion Patterns Generation and Control for an Exoskeleton-Robot
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    Chapter 13 A Study on Situational Description in Domain of Mobile Phone Operation
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    Chapter 14 Computer-Supported Decision Making with Object Dependent Costs for Misclassifications
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    Chapter 15 Robust Analysis and Interpretation of Spoken Chinese Queries
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    Chapter 16 Development and Control of a Hand Exoskeleton for Rehabilitation
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    Chapter 17 Automatically Constructing Finite State Cascades for Chinese Named Entity Identification
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    Chapter 18 Improving Information Retrieval by Concept-Based Ranking
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    Chapter 19 Liver Perfusion using Level Set Methods
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18 Mendeley
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Title
Human Interaction with Machines
Published by
Springer Netherlands, October 2006
DOI 10.1007/1-4020-4043-1
ISBNs
978-1-4020-4042-9, 978-1-4020-4043-6
Editors

Hommel, G., Huanye, Sheng

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 %
Italy 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 44%
Student > Master 4 22%
Professor 2 11%
Student > Bachelor 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Engineering 8 44%
Design 4 22%
Computer Science 2 11%
Social Sciences 1 6%
Unknown 3 17%