
Mobile Networks for Biometric Data Analysis
Springer (Publisher)
Published on 30. May 2018
Book
Paperback/Softback
IX, 323 pages
978-3-319-81944-0 (ISBN)
Description
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
56 s/w Abbildungen, 104 farbige Abbildungen
IX, 323 p. 160 illus., 104 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
511 gr
ISBN-13
978-3-319-81944-0 (9783319819440)
DOI
10.1007/978-3-319-39700-9
Schweitzer Classification
Other editions
Additional editions

Massimo Conti | Natividad Martínez Madrid | Ralf Seepold
Mobile Networks for Biometric Data Analysis
Book
07/2016
Springer
€213.99
Shipment within 10-15 days
Persons
Content
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.