Monekosso / Kuno / Remagnino Intelligent Environments

Methods, Algorithms and Applications
1. Auflage 2008
ISBN: 978-1-84800-346-0
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 211 Seiten

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.

Autoren/Hrsg.

Monekosso, Dorothy

Kuno, Yoshinori

Remagnino, Paolo

Inhaltsverzeichnis

1;Preface;6
2;Contents;7
3;List of Contributors;13
4;Intelligent Environments: Methods, Algorithms and Applications;16
4.1;1.1 Intelligent Environments;16
4.2;1.2 Technology for Intelligent Environments;17
4.3;1.3 Research Projects;19
4.4;1.4 Chapter Themes in This Collection;23
4.5;1.5 Conclusion;24
4.6;References;25
5;A Pervasive Sensor System for Evidence-Based Nursing Care Support;27
5.1;2.1 Introduction;27
5.2;2.2 Evidence-Based Nursing Care Support;28
5.3;2.3 Related Work;32
5.4;2.4 Overview and Implementations of the System;33
5.5;2.5 Experiments and Analyses;38
5.6;2.6 Prospect of the Evidence-Based Nursing Care Support System;44
5.7;2.7 Conclusions;45
5.8;References;46
6;Anomalous Behavior Detection: Supporting Independent Living;48
6.1;3.1 Introduction;48
6.2;3.2 Related work;49
6.3;3.3 Methodology;50
6.4;3.4 Experimental Setup and Data Collection;52
6.5;3.5 Experimental Results;54
6.6;3.6 Discussion;61
6.7;3.7 Conclusions;62
6.8;References;62
7;Sequential Pattern Mining for Cooking-Support Robot;64
7.1;4.1 Introduction;64
7.2;4.2 System Design;66
7.3;4.3 Implementation;72
7.4;4.4 Experimental Results;76
7.5;4.5 Conclusions;78
7.6;References;79
8;Robotic, Sensory and Problem-Solving Ingredients for the Future Home;81
8.1;5.1 Introduction;81
8.2;5.2 The Robotic Platform Mobility Subsystem;83
8.3;5.3 The Interaction Manager;85
8.4;5.4 Environmental Sensors for People Tracking and Posture Recognition;86
8.5;5.5 Monitoring Activities of Daily Living;88
8.6;5.6 Multiagent Coordination Infrastructure;94
8.7;5.7 Conclusions;99
8.8;References;100
9;Ubiquitous Stereo Vision for Human Sensing;102
9.1;6.1 Introduction;102
9.2;6.2 Ubiquitous Stereo Vision;104
9.3;6.3 Hierarchical Utilization of 3D Data and Personal Recognition;106
9.4;6.4 Recognition of Multiple Persons and Interface;109
9.5;6.5 Human Monitoring in Open Space (Safety Management Application);112
9.6;6.6 Conclusion and FutureWork;116
9.7;References;117
10;Augmenting Professional Training, an Ambient Intelligence Approach;119
10.1;7.1 Introduction;119
10.2;7.2 Color Tracking of People;122
10.3;7.3 Counting People by Spatial Relationship Analysis;123
10.4;7.4 Experimental Results;131
10.5;7.5 Conclusions;134
10.6;References;134
11;Stereo Omnidirectional System (SOS) and Its Applications;136
11.1;8.1 Introduction;136
11.2;8.2 System Configuration;137
11.3;8.3 Image integration;140
11.4;8.4 Generation of Stable Images at Arbitrary Rotation;142
11.5;8.5 An example Application: Intelligent Electric Wheelchair;145
11.6;8.6 Conclusions;149
11.7;References;149
12;Video Analysis for Ambient Intelligence in Urban Environments;151
12.1;9.1 Introduction;151
12.2;9.2 Visual Data for Urban AmI;152
12.3;9.3 Automatic Video Processing for People Tracking;157
12.4;9.4 Privacy and Ethical Issues;163
12.5;References;165
13;From Monomodal to Multimodal: Affect Recognition Using Visual Modalities;168
13.1;10.1 Introduction;168
13.2;10.2 Organization of the Chapter;170
13.3;10.3 From Monomodal to Multimodal: Changes and Challenges;171
13.4;10.4 Monomodal Systems Recognizing Affective Face or Body Movement;184
13.5;10.5 Multimodal Systems Recognizing Affect from Face and Body Movement;186
13.6;10.6 Multimodal Affect Systems: The Future;192
13.7;References;194
14;Importance of Vision in Human-Robot Communication: Understanding Speech Using Robot Vision and Demonstrating Proper Actions to Human Vision;197
14.1;11.1 Introduction;197
14.2;11.2 Understanding Simplified Utterances Using Robot Vision;199
14.3;11.3 Communicative Head Gestures for Museum Guide Robots;206
14.4;11.4 Conclusion;214
14.5;References;215
15;Index;217