Pre-Processed Audio Samples for Acoustic Side Channel Attack for Teleoperated Robots

The aim of this dataset is to use recorded audio samples from a smartphone of a teleoperated robot behaving normally and moving along its various axes. Various acoustic signal features are then extracted from the recorded audio and processed into this dataset using R. Details on the contents (e.g. feature columns for each acoustic feature) are described in the relevant paper. Data collected is not confidential as it is using a lab robot used to simulate a real-world industrial robot. No human voices are present in any of the recordings aside from distant (inaudible chatter) in other rooms and this is not linkable nor interpretable from the pre-processed values within this dataset.