On the Integration of Adaptive and Interactive Robotic Smart Spaces

© 2015 Mauro Dragone et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)Enabling robots to seamlessly operate as part of smart spaces is an important and extended challenge for robotics R&D and a key enabler for a range of advanced robotic applications, such as AmbientAssisted Living (AAL) and home automation. The integration of these technologies is currently being pursued from two largely distinct view-points: On the one hand, people-centred initiatives focus on improving the user’s acceptance by tackling human-robot interaction (HRI) issues, often adopting a social robotic approach, and by giving to the designer and - in a limited degree – to the final user(s), control on personalization and product customisation features. On the other hand, technologically-driven initiatives are building impersonal but intelligent systems that are able to pro-actively and autonomously adapt their operations to fit changing requirements and evolving users’ needs,but which largely ignore and do not leverage human-robot interaction and may thus lead to poor user experience and user acceptance. In order to inform the development of a new generation of smart robotic spaces, this paper analyses and compares different research strands with a view to proposing possible integrated solutions with both advanced HRI and online adaptation capabilities.Peer reviewe

NILM techniques for intelligent home energy management and ambient assisted living: a review

The ongoing deployment of smart meters and different commercial devices has made electricity disaggregation feasible in buildings and households, based on a single measure of the current and, sometimes, of the voltage. Energy disaggregation is intended to separate the total power consumption into specific appliance loads, which can be achieved by applying Non-Intrusive Load Monitoring (NILM) techniques with a minimum invasion of privacy. NILM techniques are becoming more and more widespread in recent years, as a consequence of the interest companies and consumers have in efficient energy consumption and management. This work presents a detailed review of NILM methods, focusing particularly on recent proposals and their applications, particularly in the areas of Home Energy Management Systems (HEMS) and Ambient Assisted Living (AAL), where the ability to determine the on/off status of certain devices can provide key information for making further decisions. As well as complementing previous reviews on the NILM field and providing a discussion of the applications of NILM in HEMS and AAL, this paper provides guidelines for future research in these topics.Agência financiadora: Programa Operacional Portugal 2020 and Programa Operacional Regional do Algarve 01/SAICT/2018/39578 Fundação para a Ciência e Tecnologia through IDMEC, under LAETA: SFRH/BSAB/142998/2018 SFRH/BSAB/142997/2018 UID/EMS/50022/2019 Junta de Comunidades de Castilla-La-Mancha, Spain: SBPLY/17/180501/000392 Spanish Ministry of Economy, Industry and Competitiveness (SOC-PLC project): TEC2015-64835-C3-2-R MINECO/FEDERinfo:eu-repo/semantics/publishedVersio

The OCarePlatform : a context-aware system to support independent living

Background: Currently, healthcare services, such as institutional care facilities, are burdened with an increasing number of elderly people and individuals with chronic illnesses and a decreasing number of competent caregivers. Objectives: To relieve the burden on healthcare services, independent living at home could be facilitated, by offering individuals and their (in)formal caregivers support in their daily care and needs. With the rise of pervasive healthcare, new information technology solutions can assist elderly people ("residents") and their caregivers to allow residents to live independently for as long as possible. Methods: To this end, the OCarePlatform system was designed. This semantic, data-driven and cloud based back-end system facilitates independent living by offering information and knowledge-based services to the resident and his/her (in)formal caregivers. Data and context information are gathered to realize context-aware and personalized services and to support residents in meeting their daily needs. This body of data, originating from heterogeneous data and information sources, is sent to personalized services, where is fused, thus creating an overview of the resident's current situation. Results: The architecture of the OCarePlatform is proposed, which is based on a service-oriented approach, together with its different components and their interactions. The implementation details are presented, together with a running example. A scalability and performance study of the OCarePlatform was performed. The results indicate that the OCarePlatform is able to support a realistic working environment and respond to a trigger in less than 5 seconds. The system is highly dependent on the allocated memory. Conclusion: The data-driven character of the OCarePlatform facilitates easy plug-in of new functionality, enabling the design of personalized, context-aware services. The OCarePlatform leads to better support for elderly people and individuals with chronic illnesses, who live independently. (C) 2016 Elsevier Ireland Ltd. All rights reserved

The elderly and the digital inclusion: A brief reference to the initiatives of the European union and Portugal

Background: The world and Europe, in particular, are aging very fast, and in the same vein, digitization is moving very quickly into citizens’ routines. Given the fact that the elderly are the largest group of citizens who are info-excluded, this reality is worrying because it will quickly make them socially excluded. This article briefly presents the main initiatives of the European Union and Portugal to promote greater and faster digital inclusion of the elderly people. In the final section, there is a critical reflection on technology acceptance Model, the concept of universal design and usability in order to propose clues and strategies that can and/or may facilitate the use and access of technologies and digital resources by the elderly.info:eu-repo/semantics/publishedVersio

Ontology-based patterns for the integration of business processes and enterprise application architectures

Increasingly, enterprises are using Service-Oriented Architecture (SOA) as an approach to Enterprise Application Integration (EAI). SOA has the potential to bridge the gap between business and technology and to improve the reuse of existing applications and the interoperability with new ones. In addition to service architecture descriptions, architecture abstractions like patterns and styles capture design knowledge and allow the reuse of successfully applied designs, thus improving the quality of software. Knowledge gained from integration projects can be captured to build a repository of semantically enriched, experience-based solutions. Business patterns identify the interaction and structure between users, business processes, and data. Specific integration and composition patterns at a more technical level address enterprise application integration and capture reliable architecture solutions. We use an ontology-based approach to capture architecture and process patterns. Ontology techniques for pattern definition, extension and composition are developed and their applicability in business process-driven application integration is demonstrated

Age-appropriate information technology on the advance: Putting paid to olden times

Ageing society opens up enormous economic potential. Whereas for a long time social interpretation homed in on the doomsday scenarios of demographic change, it is the economic potential that is now emerging with increasing clarity. Information and communication technologies stand a good chance of benefiting from this trend. Older people are not intrinsically technology refuseniks, as evidenced by the growing number of silver agers using the internet. Successful products will be far removed from disenfranchisement and stigmatisation. The challenge to product developers and marketing strategists is to create age-appropriate offers that older people do not perceive as encroaching on their autonomy or pointing up their physical infirmities. Particularly promising are offers enabling barrier-free use without seeming like segregational solutions for specific age groups. User friendliness, value systems and the legal framework are currently stymieing yet wider success. Technical fascination aside, the business potential hinges directly on regulations concerning data protection, teletreatment and cost reimbursement, on user friendliness and society’s attitude towards the application of robotics in medicine and healthcare. The tasks involved are enormous. Product developers, marketing strategists, physicians, nurses and carers, politicians and older people in need of help themselves must be prepared to take the new routes. Assistance systems, e-Health and health games benefit from demographic change. The range of offers is highly diversified. They extend from ‘intelligent’ tablet dispensers, emergency bio sensor technology in motor vehicles and motion sensor technology through tele-monitoring and online consultations to brain jogging and exercise games.demographics, technology,ICT, e-Health, games, AAL, assistance systems

Independent Aging with the Help of Smart Technology:Investigating the Acceptance of Ambient Assisted Living Technologies

Who takes care of our older adults? According to the European Union, smart technologies that support independent living and active aging, introduced as ‘Ambient Assisted Living’ (AAL), are the future for our aging population. Promises of AAL include saving long-term care costs, improving the quality of care, unburdening family caregivers, and increasing the older adults’ independence and overall quality of life. While the policy enthusiasm for AAL technology is high, it is unclear if the potential users of AAL are willing to embrace AAL technologies in their daily lives. This dissertation addressed this issue by focusing on the perspective of older adults and their caregivers. Using a combination of qualitative and quantitative approaches, we developed a comprehensive and theoretically grounded understanding of how and why users perceive AAL technologies in a certain way. Important factors that drive or hinder the acceptance were identified. These insights resulted in a model of AAL acceptance that was validated in a representative sample (n = 1296) of the Dutch older adult population. This dissertation contributes to a more user-driven approach in AAL research and development and has important implications for researchers, developers and policy makers alike. We hope that our results will guide future research efforts, design and policy directions in the AAL field

Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People

This paper aims to contribute to the field of ambient intelligence from the perspective of real environments, where noise levels in datasets are significant, by showing how machine learning techniques can contribute to the knowledge creation, by promoting software sensors. The created knowledge can be actionable to develop features helping to deal with problems related to minimally labelled datasets. A case study is presented and analysed, looking to infer high-level rules, which can help to anticipate abnormal activities, and potential benefits of the integration of these technologies are discussed in this context. The contribution also aims to analyse the usage of the models for the transfer of knowledge when different sensors with different settings contribute to the noise levels. Finally, based on the authors’ experience, a framework proposal for creating valuable and aggregated knowledge is depicted.This research was partially funded by Fundación Tecnalia Research & Innovation, and J.O.-M. also wants to recognise the support obtained from the EU RFCS program through project number 793505 ‘4.0 Lean system integrating workers and processes (WISEST)’ and from the grant PRX18/00036 given by the Spanish Secretaría de Estado de Universidades, Investigación, Desarrollo e Innovación del Ministerio de Ciencia, Innovación y Universidades