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: | 9783319396989 |
| Publication date: | 28th July 2016 |
| Author: | Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 323 pages |
| Series: | Lecture Notes in Electrical Engineering |
| Genres: |
Communications engineering / telecommunications Pattern recognition Biomedical engineering Computer applications in industry and technology |
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.
Mobile Networks for Biometric Data Analysis features in the following genres: Communications engineering / telecommunications, Pattern recognition, Biomedical engineering, Computer applications in industry and technology
Hardback. Not Available.
Mobile Networks for Biometric Data Analysis was written by Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni and published by Springer an imprint of Springer International Publishing
Mobile Networks for Biometric Data Analysis has 323 pages
Yes it is part of Lecture Notes in Electrical Engineering series