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Human-Computer Interaction. Towards Intelligent and Implicit Interaction

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Cover of 'Human-Computer Interaction. Towards Intelligent and Implicit Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Development of a Virtual Keyboard System Using a Bio-signal Interface and Preliminary Usability Test
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    Chapter 2 Unifying Conceptual and Spatial Relationships between Objects in HCI
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    Chapter 3 Context-Aware Multimodal Sharing of Emotions
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    Chapter 4 Supportive User Interfaces for MOCOCO (Mobile, Contextualized and Collaborative) Applications
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    Chapter 5 RFID Mesh Network as an Infrastructure for Location Based Services for the Blind
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    Chapter 6 An Ontology-Based Interaction Concept for Social-Aware Applications
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    Chapter 7 Sensor-Based Adaptation of User Interface on Android Phones
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    Chapter 8 Perception and BDI Reasoning Based Agent Model for Human Behavior Simulation in Complex System
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    Chapter 9 Long-Term Study of a Software Keyboard That Places Keys at Positions of Fingers and Their Surroundings
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    Chapter 10 Fast Dynamic Channel Allocation Algorithm for TD-HSPA System
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    Chapter 11 Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application
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    Chapter 12 Strangers and Friends
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    Chapter 13 suGATALOG: Fashion Coordination System That Supports Users to Choose Everyday Fashion with Clothed Pictures
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    Chapter 14 Interacting with a Context-Aware Personal Information Sharing System
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    Chapter 15 Design and Evaluation of Eco-feedback Interfaces to Support Location-Based Services for Individual Energy Awareness and Conservation
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    Chapter 16 Fuzzy Logic Approach for Adaptive Systems Design
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    Chapter 17 Semi-supervised Remote Sensing Image Segmentation Using Dynamic Region Merging
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    Chapter 18 Correcting Distortion of Views into Aquarium
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    Chapter 19 A Dense Stereo Matching Algorithm with Occlusion and Less or Similar Texture Handling
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    Chapter 20 Robust Face Recognition System Using a Reliability Feedback
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    Chapter 21 A Developer-Oriented Visual Model for Upper-Body Gesture Characterization
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    Chapter 22 Annotate. Train. Evaluate. A Unified Tool for the Analysis and Visualization of Workflows in Machine Learning Applied to Object Detection
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    Chapter 23 A New Real-Time Visual SLAM Algorithm Based on the Improved FAST Features
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    Chapter 24 A Coastline Detection Method Based on Level Set
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    Chapter 25 Tracking End-Effectors for Marker-Less 3D Human Motion Estimation in Multi-view Image Sequences
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    Chapter 26 Kernel Based Weighted Group Sparse Representation Classifier
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    Chapter 27 Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation
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    Chapter 28 Depth Camera Based Real-Time Fingertip Detection Using Multi-view Projection
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    Chapter 29 Evaluation of Hip Impingement Kinematics on Range of Motion
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    Chapter 30 Tracking People with Active Cameras
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    Chapter 31 Classification Based on LBP and SVM for Human Embryo Microscope Images
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    Chapter 32 Semantic Annotation Method of Clothing Image
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    Chapter 33 Audio-Based Pre-classification for Semi-automatic Facial Expression Coding
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    Chapter 34 Sentimental Eyes!
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    Chapter 35 Developing Sophisticated Robot Reactions by Long-Term Human Interaction
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    Chapter 36 An Awareness System for Supporting Remote Communication – Application to Long-Distance Relationships
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    Chapter 37 Emotion Sharing with the Emotional Digital Picture Frame
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    Chapter 38 Vision Based Body Dither Measurement for Estimating Human Emotion Parameters
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    Chapter 39 Evaluating Emotional State during 3DTV Viewing Using Psychophysiological Measurements
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    Chapter 40 Affect-Based Retrieval of Landscape Images Using Probabilistic Affective Model
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    Chapter 41 A Study on Combinative Value Creation in Songs Selection
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    Chapter 42 The Influence of Context Knowledge for Multi-modal Affective Annotation
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    Chapter 43 Generation of Facial Expression Emphasized with Cartoon Techniques Using a Cellular-Phone-Type Teleoperated Robot with a Mobile Projector
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    Chapter 44 A Biofeedback Game for Training Arousal Regulation during a Stressful Task: The Space Investor
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    Chapter 45 Responses Analysis of Visual and Linguistic Information on Digital Signage Using fNIRS
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    Chapter 46 A Method for Promoting Interaction Awareness by Biological Rhythm in Elementary School Children
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    Chapter 47 Internet Anxiety: Myth or Reality?
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    Chapter 48 Brain Function Connectivity Analysis for Recognizing Different Relation of Social Emotion in Virtual Reality
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    Chapter 49 A Mobile Brain-Computer Interface for Freely Moving Humans
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    Chapter 50 The Solid Angle of Light Sources and Its Impact on the Suppression of Melatonin in Humans
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    Chapter 51 Facial Electromyogram Activation as Silent Speech Method
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    Chapter 52 The Impact of Gender and Sexual Hormones on Automated Psychobiological Emotion Classification
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    Chapter 53 Evaluation of Mono/Binocular Depth Perception Using Virtual Image Display
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    Chapter 54 Visual Image Reconstruction from fMRI Activation Using Multi-scale Support Vector Machine Decoders
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    Chapter 55 Alterations in Resting-State after Motor Imagery Training: A Pilot Investigation with Eigenvector Centrality Mapping
Overall attention for this book and its chapters
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Title
Human-Computer Interaction. Towards Intelligent and Implicit Interaction
Published by
Springer Berlin Heidelberg, July 2013
DOI 10.1007/978-3-642-39342-6
ISBNs
978-3-64-239341-9, 978-3-64-239342-6
Editors

Kurosu, Masaaki

Twitter Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Colombia 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 5 23%
Student > Bachelor 3 14%
Professor 3 14%
Researcher 2 9%
Other 3 14%
Readers by discipline Count As %
Computer Science 13 59%
Design 2 9%
Psychology 2 9%
Engineering 2 9%
Agricultural and Biological Sciences 1 5%
Other 2 9%