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Intelligent Human Computer Interaction

Overview of attention for book
Cover of 'Intelligent Human Computer Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Optimizing User Interfaces for Human Performance
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    Chapter 2 Geometrical Shapes Rendering on a Dot-Matrix Display
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    Chapter 3 Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM
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    Chapter 4 Adjustable Autonomy for UAV Supervision Applications Through Mental Workload Assessment Techniques
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    Chapter 5 Classification of Motor Imagery Based EEG Signals Using Sparsity Approach
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    Chapter 6 Mental Workload Assessment for UAV Traffic Control Using Consumer-Grade BCI Equipment
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    Chapter 7 Improving Classification Performance by Combining Feature Vectors with a Boosting Approach for Brain Computer Interface (BCI)
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    Chapter 8 LINEUp: Li st N avigation Using E dge Men u
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    Chapter 9 Design Considerations for Self Paced Interactive Notes on Video Lectures - A Learner’s Perspective and Enhancements of Learning Outcome
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    Chapter 10 Using Psycholinguistic Features for the Classification of Comprehenders from Summary Speech Transcripts
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    Chapter 11 LECTOR: Towards Reengaging Students in the Educational Process Inside Smart Classrooms
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    Chapter 12 Predicting Driver’s Work Performance in Driving Simulator Based on Physiological Indices
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    Chapter 13 Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions
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    Chapter 14 Standard Co-training in Multiword Expression Detection
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    Chapter 15 Comparative Study on Normalisation in Emotion Recognition from Speech
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    Chapter 16 Detecting Vigilance in People Performing Continual Monitoring Task
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Intelligent Human Computer Interaction
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-72038-8
978-3-31-972037-1, 978-3-31-972038-8

Horain, Patrick, Achard, Catherine, Mallem, Malik

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 19%
Student > Ph. D. Student 13 14%
Student > Bachelor 11 12%
Student > Postgraduate 8 9%
Researcher 6 6%
Other 17 18%
Unknown 20 22%
Readers by discipline Count As %
Computer Science 36 39%
Engineering 13 14%
Psychology 5 5%
Business, Management and Accounting 4 4%
Neuroscience 3 3%
Other 10 11%
Unknown 22 24%