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Springer Mobile Networks for Biometric Data Analysis - Springer LNEE 392

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Description

This peer-reviewed collection explores innovative approaches to biometric data capture and analysis with emphasis on non-intrusive methods, reliable prediction algorithms, and user acceptance. Compiled from an international workshop held in Ancona, Italy in October 2014, the book covers ICT for healthcare, biometric applications in automotive and home settings, embedded systems for biometric analysis, EMG and ECG data processing, and gait analysis techniques. Mobile Networks for Biometric Data Analysis (Volume 392 in Springer's Lecture Notes in Electrical Engineering series) provides researchers and engineers with cutting-edge methodologies for integrating biometric technologies into practical systems whilst maintaining privacy and reliability standards.

Key Features

Springer Lecture Notes in Electrical Engineering Volume 392 contains peer-reviewed research from an international October 2014 workshop in Ancona, Italy.

Covers mobile biometric applications including ICT for healthcare, automotive systems, home automation, and embedded analysis platforms.

Focuses on non-intrusive biometric capture methods with reliable prediction algorithms and high user acceptance standards.

Includes specialist sessions on EMG and ECG signal processing, gait analysis, and practical implementation strategies.

Features contributions from international researchers addressing real-world biometric data challenges across medical and consumer applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 July 2016
Listed Since
21 April 2016

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