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Mobile computing and the IoT offer the potential to provide new applications to support our ageing population. However, there has been little research into the implications for system design of supporting this specific user demographic. In this paper we consider these implications, focusing in particular on an architectural design that offers the potential for complex cross-device analytics while meeting the privacy and usability concerns of older adults.
The concept of an intelligent building has existed for over 30 years and is seen as a solution to a number of economic and environmental problems. Intelligent buildings are often seen as a means of improving the energy efficiency of the built environment. However they are increasingly being promoted as a means of improving the operational efficiency of buildings, providing enhanced building and personal security, and improving the availability of management information to support better and quicker decision making. The potential cyber security risks inherent in the adoption of intelligent buildings are rarely discussed.
Research on computer-based recognition of ordinary household activities of daily living (ADLs) has been spurred by the need for technology to support care of the elderly in the home environment. We address the issue of recognizing ADLs at multiple levels of detail by combining multi-view computer vision and radio-frequency identification (RFID)-based direct sensors. Multiple places in our smart home testbed are covered by distributed synchronized cameras with different imaging resolutions. Learning object appearance models without costly manual labeling is achieved by applying the RFID sensing. A hierarchical recognition scheme is proposed by building a dynamic Bayesian network (DBN) that encompasses both coarse-level and fine-level ADL recognition. Advantages of the proposed approach include robust segmentation of objects, view-independent tracking and representation of objects and persons in 3D space, efficient handling of occlusion, and the recognition of human activity at both a coarse and fine level of detail. (4 pages)
Intelligent environment research has resulted in many useful tools such as activity recognition, prediction, and automation. However, most of these techniques have been applied in the context of a single resident. A current looming issue for intelligent environment systems is performing these same techniques when multiple residents are present in the environment. In this paper we investigate the problem of attributing sensor events to individuals in a multi-resident intelligent environment. Specifically, we use a naive Bayesian classifier to identify the resident responsible for a unique sensor event. We present results of experimental validation in a real intelligent workplace testbed and discuss the unique issues that arise in addressing this challenging problem. (8 pages)
Wireless Building Management Systems (BMS) are an attractive option when it comes to building retrofitting due to the cost constraints introduced by wired systems. A crucial part of the wireless BMS is the initial planning stage, this process can be impossible for a designer to undertake, therefore highlighting the requirement for a software design tool to aid in this process. (4 pages)
A smart home is a house that is responsive to its inhabitants and their actions by being aware of their context. Potential applications for smart homes address economic and comfort aspects of living, or could provide unobtrusive support for the elderly or disabled to promote independent living. The basic building blocks of such a smart home is a computing system consisting of distributed sensors and actuators. Programming and maintaining such an infrastructure is challenging because suitable programming abstractions are currently missing. In this paper we introduce the notion of programmable space that lets the application developer perceive the smart home as an integrated runtime environment. This approach is implemented in a system called RuleCaster. Applications are developed in a high-level rule- based language. Our approach shows a notable simplification of application development and maintenance. To verify the utility of RuleCaster we use a scenario-based evaluation method.
The concept of ambient intelligence requires software architectures enabling machine intelligence in unstructured dynamic environments. Research in mobile robotics tries to address this field since many years and has successfully created several architectural concepts for behavior-based reactive systems. We describe the architectural and communication-oriented capabilities of the modular controller architecture (MCA) and how ambient intelligence systems may benefit from these. Especially the shared memory approach of MCA offers a great possibility to facilitate distributed dynamic applications. MCA has been developed for mobile robotics research, initially at the FZI in Karlsruhe (K.U. Scholl et al., 2001) and is under continuous development. MCA addresses primitive and object-related communication, re-usability, component-based development, hardware access and application distribution. We want to take a closer look on the MCA framework and how it is already in use within an assisted living environment, established during several projects at Fraunhofer IESE (J. Nehmer et al., 2006) (M. Becker et al., 2007). Several sensors and a mobile service unit were provided by the Robotics Research Lab and the MCA framework was used for service interconnection. An intelligent refrigerator, two human localisation technologies and the mobile service robot ARTOS have MCA running as described in section 3. We present our experiences with the modular controller architecture regarding the parameters identified by the ubiquitous community (M. Weiser, 1991). The outline of this paper is as follows: first the architectural approaches in other projects are mentioned. The modular controller architecture is described in detail, with focus on the requirements of ambient intelligence. We continue by describing our assisted living demonstrator and the services and applications relevant to this work. With reference to our example implementation we conclude the features of MCA that comply to the requirements. Furthermore it is described which future work shall lead to addons and concepts to overcome certain weaknesses in the current system architecture.
As digital technologies become increasingly pervasive, we might find ourselves living with almost invisible, intelligent interactive systems - an 'ambient intelligence' - that forms a part of our everyday existence and ecology. The implications of this development are far reaching for individuals, businesses and communities. Ambient intelligence could lead to great opportunities. But as with all new technologies, we know that the technology itself is neither good nor bad. It is how we might use it that makes the difference. The main challenge at this moment is to guarantee that the new ambient intelligence technologies are appropriate, sustainable and meet people's individual and social needs. The AMEC project explores how an ambient ecology of products, services and content that is adaptive and intuitive to use can support domestic life in the connected home of the future. (7 pages)
This paper discusses the potential of using computer vision systems to determine the usage of architectural spaces with the assistant of cameras. It describes a motion analysis system and explores how this functionality can be used by intelligent spaces to interact with the users in short-term, long-term or periodically, or to assess their usability. (8 pages)
In this paper, a novel physical testbed for intelligent environments and its software based multi-agent control system are presented. In the physical testbed, a fair amount of embedded sensors and actuators are interconnected in three types of physical networks, namely the LonWorks network, RS-485 network and IP network. Universal plug and play (UPnP) is introduced in the system architecture to provide unique control interface between high level multi-agent control system and low level devices on different physical networks. The multi-agent control system is developed on an existing agent platform, JAVA agent development framework (JADE). Fuzzy inference learning is implemented with multiple fuzzy inference agents, each models the human behaviour associated with a predefined group of devices in forms of fuzzy rules. Corresponding fuzzy logic controller agents can be initiated to provide user preferred control actions according to the fuzzy rule bases. A comparative analysis shows that our control system achieves a great improvement in both control accuracy and computational efficiency compared to other offline control systems. Online adaptive learning, automatic device group formation and advanced wireless device networks are within the scope of our system architecture. (10 pages)
This paper is a very brief summary of a research project which explores, through design and precedent survey, the potential of kinetic architecture to augment our kinesthetic experience of space. The term 'kinetic' here, refers to mechanical and actual motion of the structure which results to changes and modifications of the shape, form and position of the architecture. This research project regards kinetic architecture to be part of the wider context of interactive architecture and discusses issues of spatial experience through the design of an interactively kinetic room. (6 pages)
We propose in this paper a model for agent-based devices enhanced with reasoning and interactive features. More precisely, we present an interaction protocol that enables agents to answer received messages, according not only to their functionalities, but also to their role in the interaction they are involved into. This interaction protocol aims at making it possible for agents associated to physical appliances to dialogue and compose their functionalities so as to respond to a user requirement without any prior knowledge about other agents. (10 pages)
This paper introduces a novel way to enable users to create temporal smart surroundings easily at open-air events. The final goal of this research was to support social activities in public spaces, such as festivals, camps, and outdoor-ceremonies with ubiquitous computing technologies. We designed and developed universal modular units called "I/O-CRATEs", which are box-shaped units embedded with microcomputers, sensors, actuators, and batteries. We demonstrated the possibilities of our units with a one-night special event. Through this practical experience, we found "I/O-CRATEs" could easily be used to create smart and enjoyable surroundings in many places. (9 pages)
In this paper a concept is presented, that supports awareness and emotional communication between family members, distributed over multiple intelligent home environments. A technical communication infrastructure is presented, which allows connecting different types of input and output devices. This platform is extended by several examples of emotional user interfaces, which address the individual needs of different user groups. (10 pages)
This paper is centered on the use of video-communication and tele-collaborative applications in temporary architecture. Today we live in an electronic society in which computers, mobile phones, Internet have become integral part of our everyday lives. Architecture has to interject the new space characteristics: fluxes and interrelations should become the goal of research. This approach has three significant characteristics: unification of real and virtual worlds both input and output, tele-contiguity between remote participants, convergence of amplified perceptions and sensible spaces. Tele-contiguity is superintended as an improvement of body materiality through sensory amplification and not as an impoverishment of human sensory system: the system should support an environment that looks like a natural and functional extension of the space that people use in their everyday activities. (5 pages)
One of the human strengths is to utilize past experiences to solve problems. This process can be technically supported by collecting and exploiting the history of a user's interactions with an intelligent environment. However, most of today's applications cannot or do not take on the additional burden of providing the user with sophisticated memory functionality. In this paper we present the concept of an open personal memory, which allows arbitrary applications to contribute knowledge to the memory with minimal extra effort. We describe a proof-of-concept implementation and show how users can exploit such memories. (10 pages)
Project ARS (artificial recognition system) researches the future possibilities for building automation using bionic approaches. It focuses on the combination of bottom-up data processing systems with decision making inspired by modern psychoanalysis. We define a model based on a symbol processing unit and a decision unit implementing Sigmund Freud's ego-superego-id personality model, emotions and drives. This paper describes the basic principles of decision making and the complete connection down to sensors level, it shows some of the challenges in the process and first steps of implementing a prototype system. (8 pages)
This paper presents the concept of ambient awareness that pertains to using ambient intelligence technologies for the purposes of sustaining awareness between individuals or groups of people, over sustained periods of time. The first explorations of this concept are conducted within the context of supporting awareness for busy parents having young children. We sketch the requirements drawn from an interview study, involving 20 interviews with working parents and we identify unmet communication needs that this type of technology may support. (6 pages)
The following paper concentrates on examining the built fabric under extreme events. The definition of the extreme within the built environment is analyzed and models for the relief of the phenomenon are considered. The aim is to examine the fluctuations created by the event and to create models of appeasement and design typologies which intent on the imminent relief of the crisis. Theories, such as complexity, self organization, emergence, swarm intelligence, catastrophe theory, bifurcations, networks and systems theories are applied in order to find optimum ways of designing. Generative and evolutionary design, parametric design, is explored. The methodology followed is by simulating (pedestrian movement) the facts and finding optimum design solution. (6 pages)
In this paper we propose a network-based architecture module that reflects the environment; which is called "sensible node". The aim of this module is to offer the comfort and spiritual richness; not convenience that is stereotypically sought in space utilization with computing. Also, the module has considerable flexibility that enables designers to construct the space, the integrated space of real and information, with single or multiple modules linked up together. This brings you unconventional and free designs of context aware system based on multi network which differs from traditional one-on-one pair model or server client model. In this paper, lastly we introduce two application examples as the basic module of sensible node and as the module group. (10 pages)