Mobile Networks for Biometric Data Analysis Ancona, Italy, October 30-31, 2014 http://www.dii.univpm.it/mBiDA Steering Committee M. Conti (Univ. Politecnica delle Marche, Italy) N. Martínez Madrid (Reutlingen Univ., Germany) R. Seepold (HTWG Konstanz, Germany) Program Committee A. Brito (Universidade Federal da Paraiba, João Pessoa, Brasil) F. Chiaraluce (Univ. Politecnica delle Marche, IT) M. Conti (Univ. Politecnica delle Marche, Italy) L. Fanucci (Università di Pisa, Pisa, Italy) V. Frascolla (Intel Mobile Communications, Neubiberg, Germany) M. Grammatikakis (TEI Crete, Heraklion, Greece) G. Kornaros (TEI Crete, Heraklion, Greece) F. Lehocki (Slovak University of Technology in Bratislava, Slovakia) R. Magjarević (University of Zagreb, Croatia) N. Martínez Madrid (Reutlingen Univ., Germany) J.A. Ortega (University of Seville, Spain) A. Pardo (The University of Sydney, Australia) C.S. Pattichis (University of Cyprus, Cyprus) T. Riesgo (Universidad Politécnica de Madrid, Madrid, Spain) L. Rossi (INRCA, Ancona, Italy) S. Saponara (Università di Pisa, Pisa, Italy) R. Seepold (HTWG Konstanz, Germany) M.T. Tarata (University of Medicine and Pharmacy of Craiova, Romania) E. Zanaj (Polytechnic Univ. of Tirana, Albania) Organization Committee M. Conti (Univ. Politecnica delle Marche, Italy) P. Datko (HTWG Konstanz, Germany) S. Orcioni (Univ. Politecnica delle Marche, Italy) D. Scherz (HTWG Konstanz, Germany) R. Seepold (HTWG Konstanz, Germany) E. Yay (Reutlingen University, Germany) Workshop on Mobile Networks for Biometric Data Analysis (mBiDA) Prevention and treatment of common and widespread (chronic) diseases is a challenge in any modern society and vitally important for health maintenance in aging societies. Capturing biometric data is a cornerstone for any analysis and treatment strategy. Latest advances in sensor technology allow accurate data measurement in a non-intrusive way. In many cases, it is necessary to provide online monitoring and real-time data capturing to support patients’ prevention plans or to allow medical professionals to access the current status. Different communication standards are required to push sensor data and to store and analyze them on different (mobile) platforms. The objective of the workshop is to show new and innovative approaches dedicated to biometric data capture and analysis in a non-intrusive way maintaining mobility. Examples can be found in human centered ambient intelligence attributed with sensors or even in methodologies applied in automotive real-time conform mobile system design. The workshop’s main challenge is to focus on approaches promoting non-intrusiveness, reliable prediction algorithms and high user-acceptance. The workshop will provide overview presentations, young researcher poster tracks, doctoral tracks and classical peer-review full paper tracks. Especially, would like to encourage students and young researchers to participate and to contribute to the workshop. All contributions to the proceedings will be peer-reviewed and published via workshop proceedings with ISBN. Paper Format: see http://www.dii.univpm.it/mBiDA_Submission Selected papers of the conference will be published on a Springer Book Series “Lectur Notes in Electrical Engineering” (with scopus and ISI index), Submission extended Deadline: September 25, 2014 Notification of Acceptance: October 6, 2014 Camera Ready Deadline : October 18, 2014 Paper + Poster submission via EasyChair: https://www.easychair.org/conferences/?conf=mbida2014 This workshop is registered by the German Academic Exchange Service (DAAD) under contract number 57086772 and financed by the Federal Foreign Office (Auswärtiges Amt, AA) in Germany. : Organized by: Sponsored by: