Sujit Poudel

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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)
Implicit Brain-Computer Interfaces (BCI) adapt system settings subtly based on real time measures of brain activation without the user’s explicit awareness. For example, measures of the user’s cognitive workload might drive a system that alters the timing of notifications in order to minimize user interruption. Here, we consider new avenues for implicit BCI(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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