Main Data
Author: Yoshinori Kuno
Editor: Dorothy Monekosso, Yoshinori Kuno, Paolo Remagnino
Title: Intelligent Environments Methods, Algorithms and Applications
Publisher: Springer-Verlag
ISBN/ISSN: 9781848003460
Edition: 1
Price: CHF 147.80
Publication date: 01/01/2008
Category: Informatik, EDV Buch
Language: English
Technical Data
Pages: 211
Kopierschutz: DRM
Geräte: PC/MAC/eReader/Tablet
Formate: PDF
Table of contents
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.
Table of contents
List of Contributors13
Intelligent Environments: Methods, Algorithms and Applications16
1.1 Intelligent Environments16
1.2 Technology for Intelligent Environments17
1.3 Research Projects19
1.4 Chapter Themes in This Collection23
1.5 Conclusion24
A Pervasive Sensor System for Evidence-Based Nursing Care Support27
2.1 Introduction27
2.2 Evidence-Based Nursing Care Support28
2.3 Related Work32
2.4 Overview and Implementations of the System33
2.5 Experiments and Analyses38
2.6 Prospect of the Evidence-Based Nursing Care Support System44
2.7 Conclusions45
Anomalous Behavior Detection: Supporting Independent Living48
3.1 Introduction48
3.2 Related work49
3.3 Methodology50
3.4 Experimental Setup and Data Collection52
3.5 Experimental Results54
3.6 Discussion61
3.7 Conclusions62
Sequential Pattern Mining for Cooking-Support Robot64
4.1 Introduction64
4.2 System Design66
4.3 Implementation72
4.4 Experimental Results76
4.5 Conclusions78
Robotic, Sensory and Problem-Solving Ingredients for the Future Home81
5.1 Introduction81
5.2 The Robotic Platform Mobility Subsystem83
5.3 The Interaction Manager85
5.4 Environmental Sensors for People Tracking and Posture Recognition86
5.5 Monitoring Activities of Daily Living88
5.6 Multiagent Coordination Infrastructure94
5.7 Conclusions99
Ubiquitous Stereo Vision for Human Sensing102
6.1 Introduction102
6.2 Ubiquitous Stereo Vision104
6.3 Hierarchical Utilization of 3D Data and Personal Recognition106
6.4 Recognition of Multiple Persons and Interface109
6.5 Human Monitoring in Open Space (Safety Management Application)112
6.6 Conclusion and FutureWork116
Augmenting Professional Training, an Ambient Intelligence Approach119
7.1 Introduction119
7.2 Color Tracking of People122
7.3 Counting People by Spatial Relationship Analysis123
7.4 Experimental Results131
7.5 Conclusions134
Stereo Omnidirectional System (SOS) and Its Applications136
8.1 Introduction136
8.2 System Configuration137
8.3 Image integration140
8.4 Generation of Stable Images at Arbitrary Rotation142
8.5 An example Application: Intelligent Electric Wheelchair145
8.6 Conclusions149
Video Analysis for Ambient Intelligence in Urban Environments151
9.1 Introduction151
9.2 Visual Data for Urban AmI152
9.3 Automatic Video Processing for People Tracking157
9.4 Privacy and Ethical Issues163
From Monomodal to Multimodal: Affect Recognition Using Visual Modalities168
10.1 Introduction168
10.2 Organization of the Chapter170
10.3 From Monomodal to Multimodal: Changes and Challenges171
10.4 Monomodal Systems Recognizing Affective Face or Body Movement184
10.5 Multimodal Systems Recognizing Affect from Face and Body Movement186
10.6 Multimodal Affect Systems: The Future192
Importance of Vision in Human-Robot Communication: Understanding Speech Using Robot Vision and Demonstrating Proper Actions to Human Vision197
11.1 Introduction197
11.2 Understanding Simplified Utterances Using Robot Vision199
11.3 Communicative Head Gestures for Museum Guide Robots206
11.4 Conclusion214