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Towards Visual Behavior Detection in Human-Machine Conversations

In this paper, we investigate how multiple conversational behaviors can be detected by automatically analyzing facial expressions in video recordings of users talking to a dialog system. To this end, we recorded a video corpus of human-machine …

Evaluation of Word Representations in Grounding Natural Language Instructions through Computational Human-Robot Interaction

In order to interact with people in a natural way, a robot must be able to link words to objects and actions. Although previous studies in the literature have investigated grounding, they did not consider grounding of unknown synonyms. In this paper, …

Simultaneous Action Learning and Grounding through Reinforcement and Cross-Situational Learning

Natural human-robot interaction requires robots to learn new tasks autonomously and link the learned actions to their corresponding words through grounding. Previous studies focused only on action learning or grounding, but not both. In this paper, …

A Probabilistic Framework for Comparing Syntactic and Semantic Grounding of Synonyms through Cross-Situational Learning

Natural human-robot interaction requires robots to link words to objects and actions through grounding. Although grounding has been investigated in previous studies, none of them considered grounding of synonyms. In this paper, we try to fill this …

Simulation of a diffusion driven mobile robot

In this paper, we investigate a possible mechanism to control a mobile robot via a sensory-motor coupling utilizing chemical system. To find the characteristic of correlation between the diffusion process of the chemicals and the behavioural …

A First Step Towards Binaural Beat Classification Using Multiple EEG Devices

This study analyzes the influence of binaural beats, an acoustic phenomenon which rises from two sonic waves of insignificantly different frequencies noticed as a single tone on each ear, on brain activity. Although this topic is not new, few …

Comparison of EEG Devices for Eye State Classification

In this paper, we investigate whether the price of an EEG device is directly correlated with the quality of the obtained data when applied to a simple classification task. The data of three different devices (one medical and two consumer) was used to …

A First Step towards Eye State Prediction Using EEG

In this paper, we investigate how the eye state (open or closed) can be predicted by measuring brain waves with an EEG. To this end, we recorded a corpus containing the activation strength of the fourteen electrodes of a commercial EEG headset as …