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Hybrid deep learning for modeling driving behavior from sensor data

Transfer learning was used by training the network to perform a related task, and then using one of the dense layers directly as our feature space for the real task at hand.

Usage based insurance solutions where smartphone sensor data is used to analyze the driver’s behavior are becoming prevalent these days. However, a major shortcoming of most solutions on the market today, is the fact that trips where the user was a passenger, e.g. taxi trips, get included in...