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There is a rapidly increasing amount of research on the use of brain activity patterns as a basis for biometric user verification. The vast majority of this research is based on Electroencephalogram (EEG), a technology which measures the electrical activity along the scalp. In this paper, we evaluate Functional Near-Infrared Spectroscopy (fNIRS) as an(More)
We showcase an attack in which an autonomous humanoid robot is trained to execute touch gestures that match those of a target user. Different from past work which addressed a similar problem using a Lego robot, we harness the significant processing power and unique motoric capabilities of the autonomous humanoid robot to implement an attack that: (1)(More)
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