Ambient intelligence (AmI) was established in the late 1990s as a recent paradigm for electronic environments for the timeframe of 2010–2020. AmI is essentially an elabo- tion of Mark Weiser’s vision of ubiquitous computing. Weiser was aiming at a novel mobile computing infrastructure integrated into the networked environment of people. AmI is the idea of a technology that will become invisibly embedded in our natural s- roundings, present whenever we need it, enabled by simple and effortless interaction, attuned to all our senses, adaptive to users, context-sensitive, and autonomous. AmI refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its adoption the vision has grown and fully developed, bec- ing quite influential in the development of novel ideas for information processing and new concepts for multi-disciplinary fields including electrical engineering, computer science, industrial design, user interfaces, and cognitive sciences. The AmI system - fords a basis for new paradigms of technological innovation within a multi-dimensional society. The added value of the AmI vision is the fact that the large-scale integration of electronics into the environment allows the actors, i. e. , people and objects, to collaborate with their surroundings in a natural measure. This is directly related to the increasing societal demand for communication and the exchange of information.

A foreword for the present workshop proceedings cannot be provided without first looking at the larger context of the AMI conference in which the workshops were organized. The AMI 2007 conference has roots in preceding events, but in many respects, AMI can be called a novel conference format and hence a premiere. Among the several aims that inspired and shaped this new conference format, the following two are particularly worth considering: (1) to provide a forum for the ambient intel- gence flavor of research on the Post-PC era of computer science, complementing the ubiquitous computing and pervasive computing flavors emphasized by alrea- existing conferences; (2) to offer an event that attracts contributions from all over the globe yet emphasizes European strengths – with particular reference to the Infor- tion Society Technologies (IST) branch of the EU research framework programs (FPs), which carry the same label as the conference. The workshop organization chairs reflected these unique characteristics of the new AMI conference series in the call for workshop proposals using two corresponding measures: (1) by particularly soliciting workshops on in-depth topics corresponding to the above-mentioned ambient intelligence flavor of Post-PC research; (2) by offering two different workshop threads: one ‘usual’ thread for advanced topics (called “SW workshops”) and one thread for workshops related to concrete EU FP6 and FP7 p- jects (called “EU workshops”).

This book constitutes the refereed proceedings of the AmI 2011 Workshops, held in Amsterdam, The Netherlands, in November 2011. The 55 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on aesthetic intelligence: designing smart and beautiful architectural spaces; ambient intelligence in future lighting systems; interactive human behavior analysis in open or public spaces; user interaction methods for elderly, people with dementia; empowering and integrating senior citizens with virtual coaching; integration of AMI and AAL platforms in the future internet (FI) platform initiative; ambient gaming; human behavior understanding: inducing behavioral change; privacy, trust and interaction in the internet of things; doctoral colloquium.

The internet of things (IoT) is quickly growing into a large industry with a huge economic impact expected in the near future. However, the users’ needs go beyond the existing web-like services, which do not provide satisfactory intelligence levels. Ambient intelligence services in IoT environments is an emerging research area that can change the way that technology and services are perceived by the users. Ambient Intelligence Services in IoT Environments: Emerging Research and Opportunities is a unique source that systemizes recent trends and advances for service development with such key technological enablers of modern ICT as ambient intelligence, IoT, web of things, and cyber-physical systems. The considered concepts and models are presented using a smart spaces approach with a particular focus on the Smart-M3 platform, which is now shaping into an open source technology for creating ontology-based smart spaces and is shifting towards the development of web of things applications and socio-cyber-physical systems. Containing coverage on a broad range of topics such as fog computing, smart environments, and virtual reality, multitudes of researchers, students, academicians, and professionals will benefit from this timely reference.

This volume presents the set of final accepted papers for the tenth edition of the IWANN conference “International Work-Conference on Artificial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence. C- plex and social systems. Evolutionary and genetic algorithms. Fuzzy logic. Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines. 2. Neurocomputational formulations. Single-neuron modelling. Perceptual m- elling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. Adaptive systems. Imitation learning. Reconfig- able systems. Supervised, non-supervised, reinforcement and statistical al- rithms. 4. Emulation of cognitive functions. Decision making. Multi-agent systems. S- sor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control. 5. Bio-inspired systems and neuro-engineering. Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bio-inspired systems. Neural prostheses. Retinomorphic systems. Bra- computer interfaces (BCI). Nanosystems. Nanocognitive systems.

Copy the following link for free access to the first chapter of this title: http://www.springerlink.com/content/j23468h304310755/fulltext.pdf This book is a warning. It aims to warn policy-makers, industry, academia, civil society organisations, the media and the public about the threats and vulnerabilities facing our privacy, identity, trust, security and inclusion in the rapidly approaching world of ambient intelligence (AmI). In the near future, every manufactured product – our clothes, money, appliances, the paint on our walls, the carpets on our floors, our cars, everything – will be embedded with intelligence, networks of tiny sensors and actuators, which some have termed “smart dust”. The AmI world is not far off. We already have surveillance systems, biometrics, personal communicators, machine learning and more. AmI will provide personalised services – and know more about us – on a scale dwarfing anything hitherto available. In the AmI vision, ubiquitous computing, communications and interfaces converge and adapt to the user. AmI promises greater user-friendliness in an environment capable of recognising and responding to the presence of different individuals in a seamless, unobtrusive and often invisible way. While most stakeholders paint the promise of AmI in sunny colours, there is a dark side to AmI. This book aims to illustrate the threats and vulnerabilities by means of four “dark scenarios”. The authors set out a structured methodology for analysing the four scenarios, and then identify safeguards to counter the foreseen threats and vulnerabilities. They make recommendations to policy-makers and other stakeholders about what they can do to maximise the benefits from ambient intelligence and minimise the negative consequences.

AMBINET INTELLIGENCE AND INTERNET OF THINGS The book explores long-term implementation techniques and research paths of ambient intelligence and the Internet of Things that meet the design and application requirements of a variety of modern and real-time applications. Working environments based on the emerging technologies of ambient intelligence (AmI) and the Internet of Things (IoT) are available for current and future use in the diverse field of applications. The AmI and IoT paradigms aim to help people achieve their daily goals by augmenting physical environments using networks of distributed devices, including sensors, actuators, and computational resources. Because AmI-IoT is the convergence of numerous technologies and associated research fields, it takes significant effort to integrate them to make our lives easier. It is asserted that Am I can successfully analyze the vast amounts of contextual data obtained from such embedded sensors by employing a variety of artificial intelligence (AI) techniques and that it will transparently and proactively change the environment to conform to the requirements of the user. Over time, the long-term research goals and implementation strategies could meet the design and application needs of a wide range of modern and real-time applications. The 13 chapters in Ambient Intelligence and Internet of Things: Convergent Technologies provide a comprehensive knowledge of the fundamental structure of innovative cutting-edge AmI and IoT technologies as well as practical applications. Audience The book will appeal to researchers, industry engineers, and students in artificial and ambient intelligence, the Internet of Things, intelligent systems, electronics and communication, electronics instrumentations, and computer science.

Ambient Intelligence (AmI) is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments. Such technology is used to enable environments for detecting events and behaviors of people and for responding in a contextually relevant fashion. AmI proposes a multi-disciplinary approach for enhancing human machine interaction. Ambient Intelligence: A Novel Paradigm is a compilation of edited chapters describing current state-of-the-art and new research techniques including those related to intelligent visual monitoring, face and speech recognition, innovative education methods, as well as smart and cognitive environments. The authors start with a description of the iDorm as an example of a smart environment conforming to the AmI paradigm, and introduces computer vision as an important component of the system. Other computer vision examples describe visual monitoring for the elderly, classic and novel surveillance techniques using clusters of cameras installed in indoor and outdoor application domains, and the monitoring of public spaces. Face and speech recognition systems are also covered as well as enhanced LEGO blocks for novel educational purposes. The book closes with a provocative chapter on how a cybernetic system can be designed as the backbone of a human machine interaction.

Ambient intelligence began as a vision for the future of technology and has now become a reality. The widespread use of modern technology has quickly expanded into the use of our everyday lives. On a daily basis, we are instantly connected to people, places, ideas, and information which have led to the acceleration of knowledge. As the continuing development of new technologies becomes available, those technologies will play an integral role in the future. Pervasive and Ubiquitous Technology Innovations for Ambient Intelligence Environments is a collection of research on the subject matter of human computer interaction, ubiquitous computing, embedded systems, and other areas of study which contribute to ambient intelligence. This comprehensive reference aims to broaden the overall knowledge on ambient intelligence as it relates to the aspects of modern life.

"This book covers the cutting-edge aspects of AMI applications, specifically those involving the effective design, realization, and implementation of a comprehensive ambient intelligence in smart environments"--