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Intelligent Environments (eBook)

Methods, Algorithms and Applications
eBook Download: PDF
2008 | 2009
XVII, 211 Seiten
Springer London (Verlag)
978-1-84800-346-0 (ISBN)

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Relatively new research ?elds such as ambient intelligence, intelligent envir- ments, ubiquitous computing, and wearable devices have emerged in recent years. These ?elds are related by a common theme: making use of novel technologies to enhance user experience by providing user-centric intelligent environments, - moving computers from the desktop and making computing available anywhere and anytime. It must be said that the concept of intelligent environments is not new and beganwithhomeautomation. Thechoiceofnameforthe?eldvariessomewhatfrom continent to continent in the English-speaking world. In general intelligent space is synonymous to intelligent environments or smart spaces of which smart homes is a sub?eld. In this collection, the terms intelligent environments and ambient int- ligence are used interchangeably throughout. Such environments are made possible by permeating living spaces with intelligent technology that enhances quality of life. In particular, advances in technologies such as miniaturized sensors, advances in communication and networking technology including high-bandwidth wireless devices and the reduction in power consumption have made possible the concept of intelligent environments. Environments such as a home, an of?ce, a shopping mall, and a travel port utilize data provided by users to adapt the environment to meet the user's needs and improve human-machine interactions. The user information is gathered either via wearable devices or by pervasive sensors or a combination of both. Intelligent environments brings together a number of research ?elds from computer science, such as arti?cial intelligence, computer vision, machine learning, and robotics as well as engineering and architecture.
Relatively new research ?elds such as ambient intelligence, intelligent envir- ments, ubiquitous computing, and wearable devices have emerged in recent years. These ?elds are related by a common theme: making use of novel technologies to enhance user experience by providing user-centric intelligent environments, - moving computers from the desktop and making computing available anywhere and anytime. It must be said that the concept of intelligent environments is not new and beganwithhomeautomation. Thechoiceofnameforthe?eldvariessomewhatfrom continent to continent in the English-speaking world. In general intelligent space is synonymous to intelligent environments or smart spaces of which smart homes is a sub?eld. In this collection, the terms intelligent environments and ambient int- ligence are used interchangeably throughout. Such environments are made possible by permeating living spaces with intelligent technology that enhances quality of life. In particular, advances in technologies such as miniaturized sensors, advances in communication and networking technology including high-bandwidth wireless devices and the reduction in power consumption have made possible the concept of intelligent environments. Environments such as a home, an of?ce, a shopping mall, and a travel port utilize data provided by users to adapt the environment to meet the user's needs and improve human-machine interactions. The user information is gathered either via wearable devices or by pervasive sensors or a combination of both. Intelligent environments brings together a number of research ?elds from computer science, such as arti?cial intelligence, computer vision, machine learning, and robotics as well as engineering and architecture.

Preface 6
Contents 7
List of Contributors 13
Intelligent Environments: Methods, Algorithms and Applications 16
1.1 Intelligent Environments 16
1.2 Technology for Intelligent Environments 17
1.3 Research Projects 19
1.4 Chapter Themes in This Collection 23
1.5 Conclusion 24
References 25
A Pervasive Sensor System for Evidence-Based Nursing Care Support 27
2.1 Introduction 27
2.2 Evidence-Based Nursing Care Support 28
2.3 Related Work 32
2.4 Overview and Implementations of the System 33
2.5 Experiments and Analyses 38
2.6 Prospect of the Evidence-Based Nursing Care Support System 44
2.7 Conclusions 45
References 46
Anomalous Behavior Detection: Supporting Independent Living 48
3.1 Introduction 48
3.2 Related work 49
3.3 Methodology 50
3.4 Experimental Setup and Data Collection 52
3.5 Experimental Results 54
3.6 Discussion 61
3.7 Conclusions 62
References 62
Sequential Pattern Mining for Cooking-Support Robot 64
4.1 Introduction 64
4.2 System Design 66
4.3 Implementation 72
4.4 Experimental Results 76
4.5 Conclusions 78
References 79
Robotic, Sensory and Problem-Solving Ingredients for the Future Home 81
5.1 Introduction 81
5.2 The Robotic Platform Mobility Subsystem 83
5.3 The Interaction Manager 85
5.4 Environmental Sensors for People Tracking and Posture Recognition 86
5.5 Monitoring Activities of Daily Living 88
5.6 Multiagent Coordination Infrastructure 94
5.7 Conclusions 99
References 100
Ubiquitous Stereo Vision for Human Sensing 102
6.1 Introduction 102
6.2 Ubiquitous Stereo Vision 104
6.3 Hierarchical Utilization of 3D Data and Personal Recognition 106
6.4 Recognition of Multiple Persons and Interface 109
6.5 Human Monitoring in Open Space (Safety Management Application) 112
6.6 Conclusion and FutureWork 116
References 117
Augmenting Professional Training, an Ambient Intelligence Approach 119
7.1 Introduction 119
7.2 Color Tracking of People 122
7.3 Counting People by Spatial Relationship Analysis 123
7.4 Experimental Results 131
7.5 Conclusions 134
References 134
Stereo Omnidirectional System (SOS) and Its Applications 136
8.1 Introduction 136
8.2 System Configuration 137
8.3 Image integration 140
8.4 Generation of Stable Images at Arbitrary Rotation 142
8.5 An example Application: Intelligent Electric Wheelchair 145
8.6 Conclusions 149
References 149
Video Analysis for Ambient Intelligence in Urban Environments 151
9.1 Introduction 151
9.2 Visual Data for Urban AmI 152
9.3 Automatic Video Processing for People Tracking 157
9.4 Privacy and Ethical Issues 163
References 165
From Monomodal to Multimodal: Affect Recognition Using Visual Modalities 168
10.1 Introduction 168
10.2 Organization of the Chapter 170
10.3 From Monomodal to Multimodal: Changes and Challenges 171
10.4 Monomodal Systems Recognizing Affective Face or Body Movement 184
10.5 Multimodal Systems Recognizing Affect from Face and Body Movement 186
10.6 Multimodal Affect Systems: The Future 192
References 194
Importance of Vision in Human-Robot Communication: Understanding Speech Using Robot Vision and Demonstrating Proper Actions to Human Vision 197
11.1 Introduction 197
11.2 Understanding Simplified Utterances Using Robot Vision 199
11.3 Communicative Head Gestures for Museum Guide Robots 206
11.4 Conclusion 214
References 215
Index 217

Erscheint lt. Verlag 18.9.2008
Reihe/Serie Advanced Information and Knowledge Processing
Zusatzinfo XVII, 211 p.
Verlagsort London
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte algorithms • Ambient Intelligence • Artificial Intelligence • Cognition • cognitive robots • HRI • Intelligence • Intelligent Environments • learning • Ontology • pattern mining • robot • Robot vision • Sensor • ubiquitous computing
ISBN-10 1-84800-346-3 / 1848003463
ISBN-13 978-1-84800-346-0 / 9781848003460
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