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Non-Negative Kernel Sparse Coding for the Classification of Motion Data
We are interested in the decomposition of motion data into a sparse linear combination of base functions which enable efficient data processing.
Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality
The selected features are used as input for Support Vector Machines, which finally classify the movement errors.
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