کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
378092 658877 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
MOPET: A context-aware and user-adaptive wearable system for fitness training
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
MOPET: A context-aware and user-adaptive wearable system for fitness training
چکیده انگلیسی

SummaryObjectiveCardiovascular disease, obesity, and lack of physical fitness are increasingly common and negatively affect people’s health, requiring medical assistance and decreasing people’s wellness and productivity. In the last years, researchers as well as companies have been increasingly investigating wearable devices for fitness applications with the aim of improving user’s health, in terms of cardiovascular benefits, loss of weight or muscle strength. Dedicated GPS devices, accelerometers, step counters and heart rate monitors are already commercially available, but they are usually very limited in terms of user interaction and artificial intelligence capabilities. This significantly limits the training and motivation support provided by current systems, making them poorly suited for untrained people who are more interested in fitness for health rather than competitive purposes. To better train and motivate users, we propose the mobile personal trainer (MOPET) system.Methods and materialMOPET is a wearable system that supervises a physical fitness activity based on alternating jogging and fitness exercises in outdoor environments. By exploiting real-time data coming from sensors, knowledge elicited from a sport physiologist and a professional trainer, and a user model that is built and periodically updated through a guided autotest, MOPET can provide motivation as well as safety and health advice, adapted to the user and the context. To better interact with the user, MOPET also displays a 3D embodied agent that speaks, suggests stretching or strengthening exercises according to user’s current condition, and demonstrates how to correctly perform exercises with interactive 3D animations.Results and conclusionBy describing MOPET, we show how context-aware and user-adaptive techniques can be applied to the fitness domain. In particular, we describe how such techniques can be exploited to train, motivate, and supervise users in a wearable personal training system for outdoor fitness activity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Artificial Intelligence in Medicine - Volume 42, Issue 2, February 2008, Pages 153–163
نویسندگان
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