6 accepted papers
In this study, we propose a semi-supervised learning model for decoding of the perceived difficulty of communicated content by older people. Our model is based on mapping of the older people's prefrontal cortex (PFC) activity during their verbal communication onto fine-grained cluster spaces of a wo
In this letter, we extend our recent results on prediction of the older people's perceived difficulty of verbal communication during a humanoid-mediated storytelling experiment to the case of a longitudinal conversation that was conducted over a four-week period and included a battery of conversatio
People's responses to a hypnosis intervention is diverse and unpredictable. A system that predicts user's level of susceptibility from their electroencephalography (EEG) signals can be helpful in clinical hypnotherapy sessions. In this paper, we extracted differential entropy (DE) of the recorded EE…
We report results of the analyses of the effect of communication through a humanoid robot in comparison with in-person, video-chat, and speaker on frontal brain activity of older people during an storytelling experiment. Our results suggest that whereas communicating through a physically embodied me…
We present a deep learning approach to estimation of the bead parameters in welding tasks. Our model is based on a four-hidden-layer neural network architecture. More specifically, the first three hidden layers of this architecture utilize Sigmoid function to produce their respective intermediate ou…
In this paper, a modified entropy-based algorithm is proposed for identification and reconstruction of a complex weld geometry. The edge of the weld geometry is identified based on minimizing a modified entropy-type cost function, and the weld geometry is reconstructed based on the detected edge. In…