Search results for: G. Saggio
chapter
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...
article
Annals of Biomedical Engineering > 2016 > 44 > 8 > 2431-2441
This paper presents a simple device for the investigation of the human somatosensory system with functional magnetic imaging (fMRI). PC-controlled pneumatic actuation is employed to produce innocuous or noxious mechanical stimulation of the skin. Stimulation patterns are synchronized with fMRI and other relevant physiological measurements like electroencephalographic activity and vital physiological...
article
Biomedical Signal Processing and Control > 2014 > 14 > Complete > 117-125
We propose a methodological study for the optimization of surface EMG (sEMG)-based hand gesture classification, effective to implement a human–computer interaction device for both healthy subjects and transradial amputees. The widely commonly used unsupervised Principal Component Analysis (PCA) approach was compared to the promising supervised common spatial pattern (CSP) methodology to identify the...
chapter
The understanding of surgical gesture, by means of measuring apparatus, can play a key role for a possible evaluation of the surgical performance and the human factors characterizing it. To this aim a neural network classification algorithm can be helpful, since combines good generalization performances along with a parsimonious architecture when dealing with high dimensional classification problems...
chapter
To detect and measure all the positions and movements of human hands, a data glove with bend sensors presents relevant advantages with respect to other solutions based on video-cameras. However, most of these advantages would be lost if wired connectivity is utilized. This paper presents the implementation of a wireless connection based on ZigBee protocol specifications to transmit the acquired data...
chapter
In this paper, a statistical analysis had been carried out on the measured joint angles of the human hand's fingers while performing some common tasks. By exploiting the correlation existing on some couples of joints, we can reduce the number of myoelectric sensors necessary to drive a (virtual or real) hand prosthesis, while still maintaining an acceptable hand's Degree of Freedom (DoF). In order...
chapter
Human Machine Interfaces support users to interact or simply control any kind of devices founded on machinery basis. Very simple and common interfaces are represented by the mouse and keyboard tools by which a user interact with the personal computer “machine”. It is however evident how these tools can be particularly “limited” since they “act” only in a 2D superficial environment and cannot provide...
chapter
In this paper we propose a glove based adaptive sensor interface; it is able to control a real time granular sound synthesis process. The glove was adopted to measure static and dynamic postures of the hand, by means of piezoelectric sensors, which are capable to change their electrical resistivity when deformed. The piezoresistive coefficient is defined by the ratio of the change of the relative...
chapter
Due to their pliability, sensitivity and cheapness, piezoresistive sensors can be usefully adopted to recover joint bend angles in human body movement tracking. After providing quasi-static and dynamic electrical characterization of piezoresistive sensors, the authors develop a simple and accurate RLC model fitted on sensor electrical response under fast deformation and relaxation movements, which...
chapter
Bend sensors fundamental characteristic is to furnish an electrical resistance value related to the angle they are bent. This feature can be successfully exploited to realize wearable systems capable to measure human static and dynamic postures. In particular some efforts have been made to determine finger joint movements of human hands and it has been demonstrated the feasibility of using the so...
chapter
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...
article
Sensors & Actuators: B. Chemical > 2009 > 139 > 2 > 304-309
In this work we developed a low cost flexible polymeric sensor. This sensor is realized using electrochemical synthesis of a conductive polymer (PEDOT:PSS) thin film deposited on a flexible substrate of polyimide using a peeling technique.The sensor was characterized using two different setups able to evaluate the effects of microscopic and macroscopic deformation. Different ranges are considered...
chapter
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...
chapter
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...
chapter
Flexibility, lightness, wearability and cheapness are the most important features for a successful adoption of bend sensors, being they fundamental elements to realize systems able to convert static positions and movements into electrical signals. Even though these sensors have been employed for many different applications, the focal aspect of their mechanical modeling is still not adequately considered...
chapter
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...
chapter
Piezoresistive sensors can be successfully adopted in many field where bend angles need to be measured. In particular, attention must be paid for increase the sensor numbers, applied to body-sample, which give parallel information on the movement activity. The possibility to capture information from the sensors adopting wireless technology can allow the increasing of sensor number, and the removing...
chapter
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...
chapter
This paper presents a novel human joint motion recording method, The recorded data are sent to the receiver, which is placed in the close proximity or in the same room with the patient, via a wireless short-range communications system that guarantees 3 days of battery life. This method exploits commercially available bend sensors to convert mechanical human joint movements into electric signals which...
chapter
Body area network (BAN) and wireless BAN (WBAN) systems lack a unique description model for the identification of all the components and the features that characterize them. This results in a disadvantage since a formalization tool would favor standardization and would seriously help in the implementation of building systems. In this paper we successfully used the Unified Modeling Language (UML) to...
