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Intelligent Human Computer Interaction

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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
Attention for Chapter 3: Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM
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Citations

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17 Mendeley
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Chapter title
Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM
Chapter number 3
Book title
Intelligent Human Computer Interaction
Published by
Springer, Cham, December 2017
DOI 10.1007/978-3-319-72038-8_3
Book ISBNs
978-3-31-972037-1, 978-3-31-972038-8
Authors

Ayanava Sarkar, Alexander Gepperth, Uwe Handmann, Thomas Kopinski, Sarkar, Ayanava, Gepperth, Alexander, Handmann, Uwe, Kopinski, Thomas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Doctoral Student 2 12%
Other 1 6%
Lecturer > Senior Lecturer 1 6%
Unspecified 1 6%
Other 4 24%
Unknown 4 24%
Readers by discipline Count As %
Computer Science 9 53%
Engineering 3 18%
Unspecified 1 6%
Unknown 4 24%