Abstract: Highlights•We explore kinematic and dynamic features for online signature verification.•A UR5 robotic arm is used to acquire these features from the MCYT330 dataset.•A neural network estimates the kinematic and dynamic features of a signature.•We demonstrate promising performance using the estimated features across datasets.
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