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Mobile Networks for Biometric Data Analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mobile Networks for Biometric Data Analysis/ edited by Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni.
other author:	Conti, Massimo.
Description:	IX, 323 p. 160 illus., 104 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-319-39700-9
ISBN:	9783319397009

Mobile Networks for Biometric Data Analysis
Mobile Networks for Biometric Data Analysis[electronic resource] /edited by Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni. - 1st ed. 2016. - IX, 323 p. 160 illus., 104 illus. in color.online resource. - Lecture Notes in Electrical Engineering,3921876-1100 ;. - Lecture Notes in Electrical Engineering,317.

ICT for health care -- Embedded systems for biometric data acquisition -- Biometric data in automotive and home applications -- Biometric data analysis of cardiac signals -- Gait analysis.

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.

ISBN: 9783319397009

Standard No.: 10.1007/978-3-319-39700-9doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Mobile Networks for Biometric Data Analysis
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