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In this paper, a brain/computer interface is proposed. The aim of this work is the recognition of the will of a human being, without the need of detecting the movement of any muscle. Disabled people could take, of course, most important advantages from this kind of sensor system, but it could also be useful in many other situations where arms and legs could not be used or a brain-computer interface...
This manuscript presents a robust data-independent near-field beamformer using a linear microphone array. We consider a scenario with a desired sound source and an interferer; our goal in this manuscript is to provide a technique to extract the desired source signal while attenuating the interferer. We formulate the beamformer design problem as a convex optimization problem with additional constraints...
The sensation of elevation in binaural audio is known to be strongly correlated to spectral peaks and notches in HRTFs, introduced by pinna reflections. In this work we provide an analysis methodology that helps us to explore the relationship between notch frequencies and elevation angles in the median plane. In particular, we extract the portion of the HRTF due to the presence of the pinna and we...
In the process of soundfield imaging, as defined in the literature, a microphone array is subdivided into overlapping sub-arrays and soundfield images are obtained by juxtaposition of spatial spectra computed from individual subarray data. In this paper we show that the whole process can be conveniently seen as a linear transformation applied to array data. This linear transformation embeds a nonlinear...
The use of unmanned aerial vehicles (UAVs) in civil aviation is growing up quickly, enabling new scenarios, especially in environmental monitoring and public surveillance services. So far, Earth observation has been carried out only through satellite images, which are limited in resolution and suffer from important barriers such as cloud occlusion. Microdrone solutions, providing video streaming capabilities,...
In this paper we propose a robust beamforming technique which takes into account uncertainties and variations in the radiation pattern of the loudspeakers. The proposed technique is based on the solution of a robust least-square problem in which the propagation matrix is to some extent unknown. Both simulations and experimental results prove the validity of the proposed methodology in terms of directivity...
In this paper we propose a method for reducing the impact of room reflections in sound field rendering applications. Our method is based on the modeling of the acoustic paths (direct and reflected) from each of the loudspeakers of the rendering system, and a set of control points in the listening area. From such models we derive a propagation matrix and compute its least-squares inversion. Due to...
In this paper we present a technique for the rendering of directional sources by means of loudspeaker arrays. The proposed methodology is based on a decomposition of the sound field in terms of plane waves. Within this framework the directivity of the source is naturally included in the rendering problem, therefore accommodating the directivity into the picture becomes much simpler. For this purpose,...
In this paper we propose a methodology for the localization of virtual acoustic sources for sound field rendering applications. After the reconstruction of the sound field in the listening area by means of circular harmonic decomposition, the virtual source location is found through the Hough transform. We prove the accuracy of the proposed methodology by comparing the source locations estimates with...
In this paper we present PHARMA 2.0 a telematics integrated system aimed at reducing Adverse Drug Events (ADEs) in the phases of drug prescription, transcription, distribution and administration. The proposed system is grounded on three sub-systems: a CPOE (Computerized Prescription Order Entry), an RFID-based drug container and dispenser and a middleware system. The visualization and management of...
To exchange medical data between two distant locations is of paramount importance in a significant number of scenarios (emergency, developing countries, home care, training, etc.). This paper presents performance evaluation, through emulation and using real medical equipment, of a Telemedicine application including Electro-encephalographic (EEG) data, audio, video and text. All the application flows...
ALICE at the CERN LHC will investigate the physics of strongly interacting matter at extreme energy densities where the formation of the Quark Gluon Plasma is expected. Its properties can be studied from observations like the production of mesons with charm and beauty quarks. These observations have to be studied as a function of energy density which is determined by the centrality of collisions....
ALICE (A Large Ion Collider Experiment) at the CERN LHC will investigate the physics of strongly interacting matter at extreme energy densities where the formation of the Quark Gluon Plasma is expected. Its properties can be studied from observations like the production of mesons with charm and beauty quarks. These observations have to be studied as a function of energy density which is determined...
Brain-computer interfaces (BCI) are emerging as a powerful tool for providing an alternative way of communication and environment control to severely disabled people. Among these systems, P300-based BCIs are widely diffused as they are easy to manage and do not require a training for the subjects. These systems, however, are still too slow so that they are actually used only by those patients that...
In this paper we illustrate the capability of tracking brain activity during the observation of commercial TV spots by using advanced high resolution EEG statistical techniques in time and frequency domains. In particular, we analyzed the statistically significant cortical spectral power activity in different frequency bands during the observation of a commercial videoclip related to the use of a...
The radiography based on Multiple Coulomb scattering of cosmic muons is a useful technique for high-Z material identification. It can be used to inspect big volumes such as vehicles or cargo for the detection of illegal transport of nuclear matter (i.e. Uranium). For this purpose, large area position sensitive detectors are needed: Resistive Plate Chambers well fulfill all experimental requirements...
In this paper, a brain/computer interface is proposed. The aim of this work is the recognition of the will of a human being, without the need of detecting the movement of any muscle. Disabled people could take, of course, most important advantages from this kind of sensor system, but it could also be useful in many other situations where arms and legs could not be used or a brain-computer interface...
Human hand and finger movements are of obvious importance. The possibility of recording all fingers joints movements during everyday life is then strategic for medical diagnosis, surgery and post traumatic rehabilitation. A proper presentation of recorded data can be really useful for doctors and therapists to correctly act in the occurrence of peripheral nerve injury, rigidities, camptodactyly (decline...
This study is devoted to the classification of four-class mental tasks data for a brain-computer interface protocol. In such view we adopted multi layer perceptron neural network (MLP) and fuzzy C-means analysis for classifying: left and right hand movement imagination, mental subtraction operation and mental recitation of a nursery rhyme. Five subjects participated to the experiment in two sessions...
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