PMID:18234481

Citation	Buttussi, F and Chittaro, L (2008) MOPET: a context-aware and user-adaptive wearable system for fitness training. Artif Intell Med 42:153-63
Abstract	Cardiovascular 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.
Links	PubMed Online version:10.1016/j.artmed.2007.11.004
Keywords	Ambulatory Care Information Systems; Artificial Intelligence; Computer-Assisted Instruction/instrumentation; Exercise Therapy/instrumentation; Exercise Therapy/methods; Humans; Monitoring, Ambulatory/instrumentation; Patient Education as Topic/methods; Physical Fitness/physiology
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