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For the sake of realism in the description of conduction from primary neural currents to scalp potentials, we investigated the influence of skull anisotropy on the forward and inverse problems in brain functional imaging with EEG. At present, all methods available for cortical imaging assume a spherical geometry, or when using realistic head shapes do not(More)
An experimental step for the validation of methods for solving the forward & inverse problems of brain cortical imaging Le présent chapitre a été soumis pour publication selon la référence suivante : "Evoked potentials from a real skull phantom-head: An experimental step to the validation of methods for solving the forward and inverse problems of brain(More)
The recent introduction of novel acquisition devices like the Leap Motion and the Kinect allows to obtain a very informative description of the hand pose that can be exploited for accurate gesture recognition. This paper proposes a novel hand gesture recognition scheme explicitly targeted to Leap Motion data. An ad-hoc feature set based on the positions and(More)
Though very frequently assumed, the necessity to operate a joint processing of simultaneous magnetoencephalography (MEG) and electroencephalography (EEG) recordings for functional brain imaging has never been clearly demonstrated. However, the very last generation of MEG instruments allows the simultaneous recording of brain magnetic fields and electrical(More)
We used a real-skull phantom head to investigate the performances of representative methods for EEG source localization when considering various head models. We describe several experiments using a montage with current sources located at multiple positions and orientations inside a human skull filled with a conductive medium. The robustness of selected(More)
Depth data acquired by current low-cost real-time depth cameras provide a very informative description of the hand pose, that can be effectively exploited for gesture recognition purposes. This paper introduces a novel hand gesture recognition scheme based on depth data. The hand is firstly extracted from the acquired depth maps with the aid also of color(More)
—Hand gesture recognition applications require as a first step a reliable identification of the hand region and its subdivision into fingers and palm areas. In this work the hand is firstly extracted from the depth data acquired by a depth sensor (e.g., Microsoft Kinect). Then the center of the palm and the hand orientation are identified. Finally circular(More)
The goal of the Grid Application Development Software (GrADS) Project 10 is to provide programming tools and an execution environment to ease pro-11 gram development for the Grid. This paper presents recent extensions to 12 the GrADS software framework: a new approach to scheduling workflow 13 computations, applied to a 3-D image reconstruction application;(More)
Novel 3D acquisition devices like depth cameras and the Leap Motion have recently reached the market. Depth cameras allow to obtain a complete 3D description of the framed scene while the Leap Motion sensor is a device explicitly targeted for hand gesture recognition and provides only a limited set of relevant points. This paper shows how to jointly exploit(More)