| 书目名称 | Wellness Protocol for Smart Homes | | 副标题 | An Integrated Framew | | 编辑 | Hemant Ghayvat,Subhas Chandra Mukhopadhyay | | 视频video | | | 概述 | Implements a novel integrated method for detecting the wellness of individuals.Presents new developments and advancements in wireless sensors for the field of ambient assisted living.Examines emerging | | 丛书名称 | Smart Sensors, Measurement and Instrumentation | | 图书封面 |  | | 描述 | .This book focuses on the development of wellness protocols for smart home monitoring, aiming to forecast the wellness of individuals living in ambient assisted living (AAL) environments. It describes in detail the design and implementation of heterogeneous wireless sensors and networks as applied to data mining and machine learning, which the protocols are based on. Further, it shows how these sensor and actuator nodes are deployed in the home environment, generating real-time data on object usage and other movements inside the home, and therefore demonstrates that the protocols have proven to offer a reliable, efficient, flexible, and economical solution for smart home systems. .Documenting the approach from sensor to decision making and information generation, the book addresses various issues concerning interference mitigation, errors, security and large data handling. As such, it offers a valuable resource for researchers, students and practitioners interested in interdisciplinary studies at the intersection of wireless sensing processing, radio communication, the Internet of Things and machine learning, and in how they can be applied to smart home monitoring and assisted livi | | 出版日期 | Book 2017 | | 关键词 | Interference Mitigation; Wireless Sensing; Smart Home Monitoring; Internet of Things; Wireless Sensor Ne | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-52048-3 | | isbn_softcover | 978-3-319-84806-8 | | isbn_ebook | 978-3-319-52048-3Series ISSN 2194-8402 Series E-ISSN 2194-8410 | | issn_series | 2194-8402 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 16:20:20
