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Titlebook: Smart Assisted Living; Toward An Open Smart Feng Chen,Rebeca I. García-Betances,Chris Nugent Book 2020 Springer Nature Switzerland AG 2020

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发表于 2025-3-21 16:08:28 | 显示全部楼层 |阅读模式
书目名称Smart Assisted Living
副标题Toward An Open Smart
编辑Feng Chen,Rebeca I. García-Betances,Chris Nugent
视频video
概述Discusses key issues in sensing and monitoring, context and behaviour analysis, personalisation and adaptation, and open technology infrastructure and platforms.Reviews applications for cognitive impa
丛书名称Computer Communications and Networks
图书封面Titlebook: Smart Assisted Living; Toward An Open Smart Feng Chen,Rebeca I. García-Betances,Chris Nugent Book 2020 Springer Nature Switzerland AG 2020
描述.Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the SH field, which is multidisciplinary and involves diverse applications and various stakeholders. Accordingly, an alternative to a one-size-fits-all approach is needed in order to advance the state of the art towards an open SH infrastructure..This book makes a valuable and critical contribution to smart assisted living research through the development of new effective, integrated, and interoperable SH solutions. It focuses on four underlying aspects: (1) Sensing and Monitoring Technologies; (2) Context Interference and Behaviour Analysis; (3) Personalisation and Adaptive Interaction, and (4) Open Smart Home and Service Infrastructures, demonstrating how fundamental theories, models and algorithms can be exploited to solve real-world problems..This comprehensive and timely book offers a unique and essential reference guide for policymakers, funding bodies, researchers, technology developers and managers, end users, carers, clinicians, healthcare service providers
出版日期Book 2020
关键词Assisted Living Solutions; Smart Home User Needs and System Requirements; Sensing and Monitoring; Senso
版次1
doihttps://doi.org/10.1007/978-3-030-25590-9
isbn_softcover978-3-030-25592-3
isbn_ebook978-3-030-25590-9Series ISSN 1617-7975 Series E-ISSN 2197-8433
issn_series 1617-7975
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Object Detection-Based Location and Activity Classification from Egocentric Videos: A Systematic Anal structure in object detections mitigates the consequences of noisy ones. Moreover, we determine that the recognition of activities is related to the presence of specific objects and that the lack of explicit associations between certain activities and objects hurts classification performance for t
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Improving the Collection and Understanding the Quality of Datasets for the Aim of Human Activity Rected by 141 users, whereas the second one comprised semi-realistic activities executed by three individuals. Specifically, outcomes were based on a comparison of activity recognition performance of six machine learning classifiers. Results show that, firstly, a higher number of features may not impro
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Using Semantic Markup to Boost Context Awareness for Assistive Systemsystem and beyond are discussed. Moreover, we show how personalized and adaptive HBMS user clients and the power of the context model of HBMS-System can be used to bridge an existing activity recognition gap.
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