Studien zur Mustererkennung , Bd. 46
In particular, a codebook-based feature learning method is described which utilises wearable sensors to identify the current activity of a user. Characteristic features are extracted from time series data and are used together with a Support Vector Machine for the classification task.
For the problem of indoor localisation different statistical methods are introduced that are embedded in a recursive state estimation framework. The system introduced here fuses data from accelerometers, gyroscopes, barometers and Wi-Fi measurements to track the position of a person inside a building.
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