Πλοήγηση ανά Συγγραφέας "Kasapakis, Adamantios"

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  • Μικρογραφία εικόνας
    Τεκμήριο
    An extensible computational framework for the management and analysis of wellness data in an Android environment.
    (Τ.Ε.Ι. Κρήτης, Τεχνολογικών Εφαρμογών (Σ.Τ.Εφ), Τμήμα Μηχανικών Πληροφορικής Τ.Ε., 2017-11-20) Kasapakis, Adamantios; Κασαπάκης, Αδαμάντιος
    Modern lifestyle leads to increases inactivity in populations around the world, causing health problems, such as hypertension, coronary heart disease, stroke, often related to premature death and an increasing financial burden to the health care system. It is estimated that 31% of the world population is inadequately active and approximately 3.2 million deaths are associated to inactivity. To reduce the impact of inactivity to the society and the health care system, governments are taking actions to motivate people to engage in a heathier way of living. Some of the reason that prevent people from being more active are lack of self-motivation, lack confidence, inability to set personal goals and monitor progress, lack of encouragement and others. The introduction of smartphones provides a promising way to support such healthier living using mobile applications that can track a person’s activity from the sensors available in modern mobile devices. Data collected from those sensors, combined with high accuracy algorithms can distinguish activities such as walking, running or cycling. There is evidence that mobile applications can reduce inactivity and help users engage to a healthier lifestyle by providing insight on workouts, dietary habits sleep and relaxation. Due to those evidences, the computer industry and the research community expresses an increasing interest in fitness and healthcare. Consequently, a great number of fitness applications are available on the market, including features like exercise feedback, personal training sessions, social media integration and others. In addition, big companies have created ecosystems to collect and manage health data and provide software solutions to developers, to easier develop fitness applications. This thesis aims to create an extensible fitness application as well as libraries that enable the design of various application extensions. Its main characteristic is that it allows functionality to be added by using plug-ins. The application is designed to run on the Android operating system and uses a number of Android’s features to distribute plug-ins to the user, provide communication and storage capabilities to the application and the plug-ins, as well as to secure user’s data. Finally, for demonstration purposes, two example plug-ins that validate the system’s functionality were created.