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Current
Master thesis
Applications that intend to automatically recognize exercises usually require training individual classifiers for each exercise. Instead of training models for individual exercises, we can use a textual description of a posture (e.g., “starting from an upright position, extend both arms forward, then more your left leg backwards”) and motion capture data (e.g., accelerometer and positional data). After training the relationship between text descriptions of postures and motion capture data, we can ultimately learn to determine whether a whole exercise execution has been done right or wrong.
Supervisor: Dr.-Ing. Polona Caserman
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