| 书目名称 | Mobile Networks for Biometric Data Analysis | | 编辑 | Massimo Conti,Natividad Martínez Madrid,Simone Orc | | 视频video | | | 概述 | Describes innovative, non-intrusive approaches to biometric data capture and analysis.Considers a wide range of examples, including in relation to EMG and ECG, gait analysis, and automotive applicatio | | 丛书名称 | Lecture Notes in Electrical Engineering | | 图书封面 |  | | 描述 | This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention plans or to allow medical professionals to access the patient’s current status. This book will be of value to all with an interest in this expanding field. | | 出版日期 | Conference proceedings 2016 | | 关键词 | Active Ageing; Ambient Assisted Living; Ambient Intelligence; Biometric Data Capture; Embedded Systems; I | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-39700-9 | | isbn_softcover | 978-3-319-81944-0 | | isbn_ebook | 978-3-319-39700-9Series ISSN 1876-1100 Series E-ISSN 1876-1119 | | issn_series | 1876-1100 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 19:34:41
