This study was designed to test the hypothesis that Japanese subjects exhibit different patterns of resting EEG asymmetry compared with Westerners. EEG was recorded from the left and right temporal and parietal scalp regions in bilingual Japanese and Western subjects during eyes-open and eyes-closed rest periods before and after the performance of a series of cognitive tasks. Alpha activity was...

The Honeywell AugCog team has developed a closed loop integrated prototype to address the performance advantages of a neurophysiologically driven system. The team has run a series of evaluations to validate the effectiveness of using cognitive state assessment to trigger performance mitigation strategies in an effort to improve overall system performance. This paper reviews the process for crea...

Communication with a robot using brain activity from a human collaborator could provide a direct and fast feedback loop that is easy and natural for the human, thereby enabling a wide variety of intuitive interaction tasks. This paper explores the application of EEG-measured error-related potentials (ErrPs) to closed-loop robotic control. ErrP signals are particularly useful for robotics tasks ...

Currently, multiple mobile robots, called CoBots, are deployed in an office building performing tasks for users such as delivering items and escorting visitors. Tasks for these robots are scheduled in parallel, but aside from the scheduling, the robots act entirely independently. In this work we explore how the robots can communicate dynamic changes in the environment, such as blocked corridors...

From a machine learning standpoint, the PAN 2012 Lab contest had one major challenge. In all authorship attribution tasks, the number of training documents was extremely low. We extended our previous work, in which compression distances to randomly selected prototype documents from the training corpus were used as feature representation. A supervised multi-class classifier was learned in the re...

This paper proposes eecient scheduling algorithms for the joint scheduling of hard aperiodic, sporadic and periodic real time tasks, in systems based on preemptive, xed-priority dispatching. Our scheme guarantees or rejects hard aperiodic real time tasks without any prior knowledge of their attributes, by managing the idle processor capacity dynamically. The method assigns xed priorities to per...

This narrative review describes a rationale for robotic anesthesia. It offers a first classification of robotic anesthesia by separating it into pharmacological robots and robots for aiding or replacing manual gestures. Developments in closed loop anesthesia are outlined. First attempts to perform manual tasks using robots are described. A critical analysis of the delayed development and introd...

The effective construction of many association rule bases require the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, these two tasks are rarely combined. Most of the existing solutions apply levelwise breadth-first traversal, though depth-first traversal is knowingly superior. Hence, we address here the depth-first FCI/FG-mining. The proposed algorithm,...

We developed a computational model of the mushroom body (MB), a prominent region of multimodal integration in the insect brain, and tested the model’s performance for non-elemental associative learning in visual pattern avoidance tasks. We employ a realistic spiking neuron model and spike time dependent plasticity, and learning performance is investigated in closed-loop conditions. We show that...

In this paper, we present an experiment to detect emotions in tweets. Unlike much previous research, we draw the important distinction between the tasks of emotion detection in a closed world assumption (i.e. every tweet is emotional) and the complicated task of identifying emotional versus non-emotional tweets. Given an apparent lack of appropriately annotated data, we created two corpora for ...