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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, 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...
P300-based BCI systems are widely diffused as they are easy to manage and do not require a training for the subjects. A lot of P300-related BCI researches have been proposed to date and each of them tries to focus on different aspects of these systems. In this paper a study regarding the efficiency of a P300 BCI system, implemented with two different inter-stimulus intervals is presented; the aim...
In this paper we propose an innovative approach to object shape and position estimation by stereometric, data mining and interpolating techniques. Our proposed system would be able to work with real-time performances. Unfortunately the most computational expensive part of our solution is clustering. To achieve our goal we also propose a new prototypes estimation technique based on the application...
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