摘要 :
An Augmented Reality (AR) is a technology which provides the user with a real time 3D enhanced perception of a physical environment with addition virtual elements—either virtual scenery, information regarding surroundings, other ...
展开
An Augmented Reality (AR) is a technology which provides the user with a real time 3D enhanced perception of a physical environment with addition virtual elements—either virtual scenery, information regarding surroundings, other contextual information—and is also capable of hiding or replacing real structures. With Augmented Reality applications becoming more advanced, the ways the technology can be viably used is increasing. A ugmented Reality has been used for gaming several times with varying results. AR systems are seen by some as an important part of the ambient intelligence landscape. Therefore, the authors present several types of augmentation applications ofAR in the domestic, industrial, scientific, medicinal, and military sectors which may benefitfuture ambient intelligent systems.
收起
摘要 :
In this paper we present the spatial interaction laboratory (SIL), an ambient intelligence (AmI) at the Bremen Spatial Cognition Center, University of Bremen. We describe three scenarios that guided design of hardware and software...
展开
In this paper we present the spatial interaction laboratory (SIL), an ambient intelligence (AmI) at the Bremen Spatial Cognition Center, University of Bremen. We describe three scenarios that guided design of hardware and software components. We sketch the environment and the middleware, which provides the basis for further functionality development. Furthermore, we give examples of existing components and stress the importance of privacy as a key acceptance factor for ambient intelligence.
收起
摘要 :
This paper addresses the need to enhance transparency in ambient intelligent environments by developing more natural ways of interaction, which allow the users to communicate easily with the hidden networked devices rather than em...
展开
This paper addresses the need to enhance transparency in ambient intelligent environments by developing more natural ways of interaction, which allow the users to communicate easily with the hidden networked devices rather than embedding obtrusive tablets and computing equipment throughout their surroundings. Ambient intelligence vision aims to realize digital environments that adapt to users in a responsive, transparent, and context-aware manner in order to enhance users’ comfort. It is, therefore, appropriate to employ the paradigm of “” (CWWs), which aims to mimic the ability of humans to communicate transparently and manipulate perceptions via words. One of the daily activities that would increase the comfort levels of the users (especially people with disabilities) is cooking and performing tasks in the kitchen. Existing approaches on food preparation, cooking, and recipe recommendation stress on healthy eating and balanced meal choices while providing limited personalization features through the use of intrusive user interfaces. Herein, we present an application, which transparently interacts with users based on a novel CWWs approach in order to predict the recipe's difficulty level and to recommend an appropriate recipe depending on the user's mood, appetite, and spare time. The proposed CWWs framework is based on linear general type-2 (LGT2) fuzzy sets, which linearly quantify the linguistic modifiers in the third dimension in order to better represent the user perceptions while avoiding the drawbacks of type-1 and interval type-2 fuzzy sets. The LGT2-based CWWs framework can learn from user experiences and adapt to them in order to establish more natural human–machine interaction. We have carried numerous real-world experiments with various users in the University of Essex intelligent flat. The comparison analysis between interval type-2 fuzzy sets and LGT2 fuzzy sets demonstrat- s up to 55.43% improvement when general type-2 fuzzy sets are used than when interval type-2 fuzzy sets are used instead. The quantitative and qualitative analysis both show the success of the system in providing a natural interaction with the users for recommending food recipes where the quantitative analysis shows the high statistical correlation between the system output and the users’ feedback; the qualitative analysis presents social science evaluation confirming the strong user acceptance of the system.
收起
摘要 :
This article shows how to model and implement an ambient intelligence (AmI) system using agent technology. The HERA project, undertaken by a consortium with members from academia as well as industry, applied the agent systems engi...
展开
This article shows how to model and implement an ambient intelligence (AmI) system using agent technology. The HERA project, undertaken by a consortium with members from academia as well as industry, applied the agent systems engineering methodology (ASEME), an agent-oriented software engineering approach, to develop a real-world system for the ambient assisted living application domain. This article focuses on the software architecture, along with the development method and validation results. The obtained results demonstrate the added value of agent technology use, along with how ASEME can be applied for modeling a real-world ambient intelligence system.
收起
摘要 :
Ambient assisted living (AAL) technologies can provide assistance and support to persons with dementia. They might allow them the possibility of living at home for longer whilst maintaining their comfort and security as well as of...
展开
Ambient assisted living (AAL) technologies can provide assistance and support to persons with dementia. They might allow them the possibility of living at home for longer whilst maintaining their comfort and security as well as offering a way towards reducing the huge economic and personal costs forecast as the incidence of dementia increases worldwide over coming decades. However, the development, introduction and use of AAL technologies also trigger serious ethical issues. This paper is a systematic literature review of the on-going scholarly debate about these issues. More specifically, we look at the ethical issues involved in research and development, clinical experimentation, and clinical application of AAL technologies for people with dementia and related stakeholders. In the discussion we focus on: (1) the value of the goals of AAL technologies, (2) the special vulnerability of persons with dementia in their private homes, (3) the complex question of informed consent for the usage of AAL technologies.
收起
摘要 :
Ambient Intelligence (AmI) is a key concept that uses environmental and contextual information for improving the application experience. The adaptive approach used by AmI offers several benefits for the Industrial Internet of Thin...
展开
Ambient Intelligence (AmI) is a key concept that uses environmental and contextual information for improving the application experience. The adaptive approach used by AmI offers several benefits for the Industrial Internet of Things (IIoT) such as enhancing machine productivity and improving different processes. IIoT applications involve many tasks that need to be computed in real-time using fog nodes, thus efficient computing techniques are a major challenge in IIoT. In this paper, we propose an ambient intelligence-assisted computing technique for Industrial IoT to maximize the number of served tasks and reduce task outages at fog nodes. We utilize contextual information such as transmission rate and task delay requirements to efficiently offload the tasks from machine-embedded sensors to the fog nodes. We propose an adaptive computing resource unit sizing to serve an individual task at the fog node. Moreover, we propose a many-to-one matching-based algorithm for mapping between tasks and computing resources. We perform extensive simulations to show that the proposed algorithm improves the number of served tasks by 54% and computational resource utilization at the fog nodes by 47%.
收起
摘要 :
This paper reports an exploration of the concept of social intelligence in the context of designing home dialogue systems for an Ambient Intelligence home. It describes a Wizard of Oz experiment involving a robotic interface capab...
展开
This paper reports an exploration of the concept of social intelligence in the context of designing home dialogue systems for an Ambient Intelligence home. It describes a Wizard of Oz experiment involving a robotic interface capable of simulating several human social behaviours. Our results show that endowing a home dialogue system with some social intelligence will: (a) create a positive bias in the user's perception of technology in the home environment, (b) enhance user acceptance for the home dialogue system, and (c) trigger social behaviours by the user in relation to the home dialogue system.
收起
摘要 :
During the past decade, researchers from humanities, design, science and engineering, have been collectively working towards the realization of the Ambient Intelligence vision. This thematic issue records the evolution of the fiel...
展开
During the past decade, researchers from humanities, design, science and engineering, have been collectively working towards the realization of the Ambient Intelligence vision. This thematic issue records the evolution of the field and fosters scientific debate on research issues and reflection on the progress of Ambient Intelligence and its future.
收起
摘要 :
This paper presents DemaWare2, an Ambient Assisted Living framework to support the care of people with dementia. The framework integrates various sensor modalities, such as ambient, wearable, offline and cloud-based, together with...
展开
This paper presents DemaWare2, an Ambient Assisted Living framework to support the care of people with dementia. The framework integrates various sensor modalities, such as ambient, wearable, offline and cloud-based, together with sophisticated, interdisciplinary methods including image, audio and semantic analysis. Fine-grained, atomic events, such as object manipulation, are aggregated into complex activities through semantic fusion. Applications tailored to monitoring dementia symptoms support clinicians to drive effective, timely interventions and evaluate their outcomes. The framework was evaluated for its robustness, reliability and clinical value in real-world lab trials and home installations. (C) 2016 Elsevier B.V. All rights reserved.
收起
摘要 :
An Ambient Intelligence (AmI) system is a pervasive system in which services have some intelligence in order to smoothly interact with users immersed in the environment. Users are the main entity in AmI systems. Thus, the services...
展开
An Ambient Intelligence (AmI) system is a pervasive system in which services have some intelligence in order to smoothly interact with users immersed in the environment. Users are the main entity in AmI systems. Thus, the services are user-centred with an adaptive interaction that provides users with more personalized facilities in a non-intrusive way. The deployment of AmI services is a hard task, especially when the system includes complex users' behaviours or complex deployments in terms of the devices and software participating at the system. Since one of the intrinsic requirements in these services is smooth interaction with users, the user, or at least a model of the user, should be incorporated in the development process. This makes the process of verification and validation of such services quite difficult. This paper proposes the use of Agent Based Social Simulation for a quick and feasible validation of AmI systems. Simulation in the first stages enables easy validation of the services before real environment deployment. The main challenge in this approach is how to simulate humans with realistic behaviours. In this paper, Social Simulation (SS) is used to tackle this problem. Specifically, this paper presents a methodology for the validation of AmI systems by SS. The realistic modelling of users and its validation are key elements of this process and involve challenges that the techniques proposed here are able to deal with. A real application example which shows the level of reality reached in the users' models and the benefits of the methodology is presented in this paper.
收起
原文获取