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Human motion analysis using artificial vision is an interesting topic in the biomechanical analysis of the human body for rehabilitation routines. The people with motor disorders can achieve better and faster results if a quantitative analysis of patient progress is carried out by precision. Nowadays, there are many systems capable to capture human body movements, however these tools can be invasive,...
We present a robust 3-D parts-based (PB) tracking system designed to follow the upper limb of stroke survivors during desktop activities. This system fits a probabilistic model of the arm to sequences of images taken from multiple angles. The arm model defines shapes and colors of limbs and limb configurations that are more or less likely. We demonstrate that the system is 1) robust to cluttered scenes...
Recent studies have shown the potential benefits of applying technology to stroke rehabilitation. Traditional rehabilitation tasks are often mundane, and can lead to a lack of patient motivation, resulting in little or no independent patient exercise taking place. We describe a low-cost visual tracking system suitable for upper limb stroke rehabilitation in the home which does not require expensive...
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