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This study present an intervention combining an electroencephalography-based brain computer interface with a hybrid robotic system for the modulation of the cortical excitability (plasticity). Plasticity is intended to be elicited through the association of the voluntary motor-related cortical processes with the hybrid assistance during the execution of reaching movement. The cortical excitability...
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger...
This paper presents a new method for recognizing places in indoor environments based on the extraction of planar regions from range data provided by a hand-held RGB-D sensor. We propose to build a plane-based map (PbMap) consisting of a set of 3D planar patches described by simple geometric features (normal vector, centroid, area, etc.). This world representation is organized as a graph where the...
This paper presents a novel adaptive pattern-driven approach for compressing large-area high-resolution terrain data. Utilizing a pattern-driven model, the proposed approach achieves efficient terrain data reduction by modeling and encoding disparate visual patterns using a compact set of extracted features. The feasibility and efficiency of the proposed technique were corroborated by experiments...
This paper presents a novel pattern-driven image compression technique for exploring the synergy between content-based analysis and compression. Within the pattern-driven paradigm, image data are considered as relational and classifiable entities, which are low level visual patterns including: (1) flat or homogeneous patterns (HP), (2) structural lines, curves and boundaries indicating the intensity/structural...
We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in...
Visual input is one of the prerequisites for most biofeedback studies for prosthetic hand control, since amputees lost part of their proprioception. This study explores whether it is possible to use audio feedback alone to convey more than one independent variable, without relying on visual input, to improve the learning of new perceptions; in this case artificial proprioception of a prosthetic hand...
In this paper, the control problem, in a 3D cartesian space, of camera-in-hand robotic systems is considered. In this approach, a camera is mounted on the robot, at the hand, which provides an image of objects located in the robot environment. The aim of this approach is to move the robot arm in such a way that the image of the considered object, a sphere in our case, coincides with the center of...
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