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This paper presents a mobile and unobtrusive platform that enables the accurate monitoring of physical activities in daily life, and is integrated into a healthcare system supporting out-of-hospital services. The main focus of the paper is to describe and evaluate a complete data processing chain for recognizing different activities, and estimating their intensity level. To develop a mobile platform...
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