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Titlebook: Mobile Networks for Biometric Data Analysis; Massimo Conti,Natividad Martínez Madrid,Simone Orc Conference proceedings 2016 Springer Inter

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發(fā)表于 2025-3-21 19:34:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mobile Networks for Biometric Data Analysis
編輯Massimo Conti,Natividad Martínez Madrid,Simone Orc
視頻videohttp://file.papertrans.cn/636/635446/635446.mp4
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
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Mobile Networks for Biometric Data Analysis;  Massimo Conti,Natividad Martínez Madrid,Simone Orc Conference proceedings 2016 Springer Inter
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
關(guān)鍵詞Active Ageing; Ambient Assisted Living; Ambient Intelligence; Biometric Data Capture; Embedded Systems; I
版次1
doihttps://doi.org/10.1007/978-3-319-39700-9
isbn_softcover978-3-319-81944-0
isbn_ebook978-3-319-39700-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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1876-1100 ion to EMG and ECG, gait analysis, and automotive applicatioThis 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 p
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Mobile Networks for Biometric Data Analysis978-3-319-39700-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Conference proceedings 2016 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.
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Adaptive Analysis of Merchant Big Dataangen, in dem diese Aufgabe nicht besonders betont wurde. Allerdings ist die stark wachsende afrikanische Bev?lkerung vom Ziel der Grundbedürfnisbefriedigung weiter denn je entfernt. Die 80er Jahre waren gerade für Afrika ein verlorenes Jahrzehnt, obwohl 36 L?nder Strukturanpassungsprogramme durchgeführt haben.
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