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This bachelor thesis aims to explore how well one can classify different types of motions using only data gathered from a mobile phones gyroscope and accelerometer. The methods includes extracting features from the covariance estimations of each signal and taking timefrequency transforms of the data and classify the transforms with a convolutional neural network. The results are positive and shows
