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The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks
[article]
2017
arXiv
pre-print
The importance of robotic assistive devices grows in our work and everyday life. Cooperative scenarios involving both robots and humans require safe human-robot interaction. One important aspect here is the management of robot errors, including fast and accurate online robot-error detection and correction. Analysis of brain signals from a human interacting with a robot may help identifying robot errors, but accuracies of such analyses have still substantial space for improvement. In this paper
arXiv:1711.06068v1
fatcat:k55urx6dubasjcufzuonmqnqly