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Motion capture coupled with on-body sensing and biofeedback are key enabling technologies for assisted motor rehabilitation. However, wearability, power efficiency and measurement repeatability remain the principle challenges that need to be addressed before widespread adoption of such systems becomes possible. The weight and the size of the on-body sensing system needs to be kept small, and the system...
Human body motion can be captured by body area sensor networks. Accurate sensor placement with respect to anatomical landmarks is one of the main factors determining the accuracy of motion-capture systems. Changes in position of the sensors cause increased variability in the motion data, so isolating the characteristic features that represent the most important motion patterns is our concern. As accurate...
Failure to place markers/sensors accurately when motion capture the human body is probably the single greatest contributor to measurement variability in rehabilitation applications. In this paper, we study the effect of inadvertent changes in the position of sensors while evaluating similarities between similar actions in motion capturing. We then use a Principal Component Analysis (PCA) based technique...
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