Modality Classification Method Based on the Model of Vibration Generation while Vehicles are Running

This paper deals with the classification problem of modes of transportation using the information obtained with mobile devices such as smartphones. We especially focus on distinction between cars and motorbikes, which have been a difficult problem due to their similarity. In order to solve this problem, we propose the classification method based on the model of vibration generation while vehicles are running. We conducted an experiment to evaluate the classification accuracy and obtained the accuracy of over 80%.

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