Open
2024/05/02
Master thesis
Traditional approaches to exercise recognition involve training specific classifiers for each exercise, typically utilizing sensor data such as accelerometer and positional data. In addition to motion capture data, one could also incorporate textual descriptions of a posture (e.g., “starting from an upright position, extend both arms forward, then move your left leg backwards”). By establishing the connection between textual descriptions of postures and motion capture data, we can ultimately determine the accuracy of an entire exercise execution.
Supervisor: Dr.-Ing. Polona Caserman
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Current
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2023/10/01
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