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This two volume set (LNCS 8025-8026) constitutes the refereed proceedings of the Fourth International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, formerly International Conference on Digital Human Modeling, DHM 2013, held as part of the 15th International Conference on Human-Computer Interaction, HCII 2013, held in Las Vegas, USA in July 2013, jointly with 12 other thematically similar conferences. The total of 1666 papers and 303 posters presented at the HCII 2013 conferences was carefully reviewed and selected from 5210 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers accepted for presentation thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. This two-volume set contains 91 papers. The papers in this volume focus on the following topics: digital human modeling and ergonomics in working environments; ergonomics of work with computers; anthropometry, posture and motion modeling. |
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 Congenital Heart Disease in Adults
The adult population with congenital heart disease is increasing rapidly. More than 80% of children with congenital heart disease now reach adulthood, with some congenital heart diseases diagnosed for the first time in adults. The operations performed during childhood may have severe residual findings, which need to be repaired. Cardiologists... | | Free/Open Source Software DevelopmentIn the last few years, free and open source software has gathered increasing
interest, both from the business and the academic worlds. As some projects in different
application domains, like Linux together with the suite of GNU utilities,
GNOME, KDE, Apache, sendmail, bind, and several programming languages, have
achieved huge... | | Introduction to Machine Learning (Adaptive Computation and Machine Learning)The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed... |
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