96 result(s)
Page Size: 10, 20, 50
Export: bibtex, xml, json, csv
Order by:

CNR Author operator: and / or
more
Typology operator: and / or
Language operator: and / or
Date operator: and / or
more
Rights operator: and / or
2021 Journal article Open Access OPEN

A System for Neuromotor Based Rehabilitation on a Passive Robotic Aid
Righi M., Magrini M., Dolciotti C., Moroni D.
In the aging world population, the occurrence of neuromotor deficits arising from stroke and other medical conditions is expected to grow, demanding the design of new and more effective approaches to rehabilitation. In this paper, we show how the combination of robotic technologies with progress in exergaming methodologies may lead to the creation of new rehabilitation protocols favoring motor re-learning. To this end, we introduce the Track-Hold system for neuromotor rehabilitation based on a passive robotic arm and integrated software. A special configuration of weights on the robotic arm fully balances the weight of the patients' arm, allowing them to perform a purely neurological task, overcoming the muscular effort of similar free-hand exercises. A set of adaptive and configurable exercises are proposed to patients through a large display and a graphical user interface. Common everyday tasks are also proposed for patients to learn again the associated actions in a persistent way, thus improving life independence. A data analysis module was also designed to monitor progress and compute indices of post-stroke neurological damage and Parkinsonian-type disorders. The system was tested in the lab and in a pilot project involving five patients in the post-stroke chronic stage with partial paralysis of the right upper limb, showing encouraging preliminary results.Source: Sensors (Basel) 21 (2021). doi:10.3390/s21093130
DOI: 10.3390/s21093130

See at: Europe PubMed Central Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Sensors Open Access | Sensors Open Access


2021 Report Open Access OPEN

SI-Lab Annual Research Report 2020
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Technical Report, ISTI-2021-TR/009, pp.1–38, 2021
DOI: 10.32079/isti-tr-2021/009

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Closed Access

OSIRIS-FO - OSIRIS PDR Meeting - CNR-ISTI current status
Salerno E., Martinelli M., Reggiannini M., Righi M., Tampucci M.
ESA OSIRIS 2 Project - Current status of CNR-ISTISource: ISTI Project report, OSIRIS-FO, 2021

See at: CNR ExploRA Restricted


2020 Contribution to conference Open Access OPEN

Augmented reality and intelligent systems in Industry 4.0
Benassi A., Carboni A., Colantonio S., Coscetti S., Germanese D., Jalil B., Leone R., Magnavacca J., Magrini M., Martinelli M., Matarese F., Moroni D., Paradisi P., Pardini F., Pascali M., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
Augmented reality and intelligent systems in Industry 4.0 - Presentazione ARTESSource: ARTES, 12/11/2020
DOI: 10.5281/zenodo.4277713
DOI: 10.5281/zenodo.4277712

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2020 Report Closed Access

Optical/SAR data and system Integration for Rush Identification of Ship models OSIRIS 2 - ESA Project The Ground Truth Data Base
Martinelli M., Reggiannini M., Righi M., Salerno E., Tampucci M.
Presentazione Kick-Off MeetingSource: Project report, 2020

See at: CNR ExploRA Restricted


2020 Report Closed Access

OSIRIS-FO
Martinelli M., Moroni D., Reggiannini M., Righi M., Salerno E., Tampucci M.
OSIRIS-FO Ship Classification and Ship Kinematics EstimationSource: Project report, OSIRIS-FO, 2020

See at: CNR ExploRA Restricted


2020 Report Open Access OPEN

Un sistema per la riabilitazione neuromotoria basato su di un ausilio robotico passivo
Magrini M., Righi M., Moroni D., Dolciotti C.
Il laboratorio Segnali ed Immagini dell'Istituto ISTI del CNR di Pisa, in collaborazione con Wearable Robotics ha sviluppato un sistema HW/SW orientato alla riabilitazione di soggetti con problemi neuro-motori, in particolare derivanti da situazioni post-ictus. Gli esercizi riabilitativi consentiti dal sistema, compiuti sotto la guida di un operatore, si basano sulla manipolazione di un dispositivo HW (Track-Hold di Wearable Robotics) che permette l'esecuzione di movimenti scaricando il peso dell'arto superiore, in modo da rendere l'esercizio puramente neurologico e non faticoso per l'apparato muscolare. Il controllo dell'esecuzione degli esercizi viene fornito da un apposito software realizzato da ISTI, in grado di analizzare i movimenti compiuti e di fornire una valutazione delle capacità neuromotorie del soggetto.Source: ISTI Technical Reports 2020/010, 2020, 2020
DOI: 10.32079/isti-tr-2020/010

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Contribution to conference Open Access OPEN

Lo Stile di Vita del Frequentatore della Montagna
Martinelli M., Bastiani L., Valoti P., Agazzi G., Carrara B., Parigi G. B., Marina Malannino M., Spinelli A., Calderoli A., Orizio L., Righi M., Pardini F., Benassi A., D'Angelo G., Giardini G., Moroni D., Mrakic Sposta S., Pratali L.
La variazione dei frequentatori della montagna degli ultimi anni sta significativamente cambiando le problematiche del territorio montano: se da un lato aumenta il numero delle presenze temporanee (turisti, lavoratori, etc...), dall'altro diminuisce quello degli abitanti. Il primo, tra le varie, sta elevando il Male Acuto di alta Montagna (MAM) a problema di salute pubblica non trascurabile; il secondo porta ad una minore gestione del territorio generando problemi diretti ed indiretti, tra questi, favorito altresì dal riscaldamento globale, anche la proliferazione delle zecche. Questa ricerca ha esaminato in particolare I fattori di rischio individuale relativo allo stile di vita e al MAM.Source: XXI CONVEGNO NAZIONALE SIMeM, Arabba, 28/09/2019

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Report Closed Access

Deep learning in precision agriculture
Martinelli M., Benassi A., Pardini F., Righi M., Salvetti O., Moroni D.
The work described in this research report is part of the activities carried out within the Scientific Collaboration between the Laboratory of Signals and Images at CNR-ISTI and CNR-IBIMET.Source: Research report, 2019

See at: CNR ExploRA Restricted


2019 Journal article Open Access OPEN

Remote sensing for maritime prompt monitoring
Reggiannini M., Righi M., Tampucci M., Lo Duca A., Bacciu C., Bedini L., D'Errico A., Di Paola C., Marchetti A., Martinelli M., Mercurio C., Salerno E., Zizi B.
The main purpose of this paper is to describe a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade pipeline of several image processing algorithms that input Radar or Optical imagery captured by satellite-borne sensors and try to identify vessel targets in the scene and provide quantitative descriptors about their shape and motion. This platform is innovative since it integrates in its architecture heterogeneous data and data processing solutions with the goal of identifying navigating vessels in a unique and completely automatic processing streamline. More in detail, the processing chain consists of: (i) the detection of target vessels in an input map; (ii) the estimation of each vessel's most descriptive geometrical and scatterometric (for radar images) features; (iii) the estimation of the kinematics of each vessel; (iv) the prediction of each vessel's forthcoming route; and (v) the visualization of the results in a dedicated webGIS interface. The resulting platform represents a novel tool to counteract unauthorized fishing and tackle irregular migration and the related smuggling activities.Source: Journal of marine science and engineering 7 (2019). doi:10.3390/jmse7070202
DOI: 10.3390/jmse7070202

See at: Journal of Marine Science and Engineering Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Journal of Marine Science and Engineering Open Access | Journal of Marine Science and Engineering Open Access


2019 Conference article Open Access OPEN

Towards a behavior analysis of remote-sensed vessels
Reggiannini M., Salerno E., Martinelli M., Righi M., Tampucci M., Bedini L.
This paper analyzes the potentialities to classify vessels detected through optical and synthetic-aperture radar (SAR) satellite-borne platforms and estimate their motion. For classification, the discriminative power of a set of geometric features extracted from segmented remote-sensed images is valuated by clustering data derived from a set of accurate footprints belonging to either tanker or cargo ships. The same procedure is repeated on a few dozens of real, remote-sensed optical images. Concerning velocity estimation, which in this context is based on the detection and analysis of the wake pattern generated by the ship motion, a discussion concerning the accuracy of the wake detection task is presented. In particular, since wake patterns are usually hard to detect, a method is proposed to enhance the wake signal-to-noise ratio, based on a dedicated pre-filtering stage. Results returned by the proposed method are compared with those obtained adopting a standard literature approach, eventually observing that the introduction of the prefiltering stage improves the wake detection accuracy. A maritime surveillance system based on a pipeline of the modules described here represents a useful tool to support the authorities in charge of monitoring maritime traffic with safety, security and law enforcement purposes.Source: 15th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 595–602, Sorrento, Napoli, Italy, 26-29/11/2019
DOI: 10.1109/sitis.2019.00100

See at: ISTI Repository Open Access | academic.microsoft.com Restricted | conferences.computer.org Restricted | dblp.uni-trier.de Restricted | CNR ExploRA Restricted | xplorestaging.ieee.org Restricted


2018 Journal article Open Access OPEN

Size and Heading of SAR-Detected Ships through the Inertia Tensor
Bedini L., Righi M., Salerno E.
We present a strategy to estimate the heading, the length overall and the beam overall of targets already detected as ships in a wide-swath SAR image acquired by a satellite platform. Such images are often affected by distortions due to marine clutter, spectral leakage, or antenna sidelobes. These can mask the target image, thus hampering the possibility of evaluating the size and the behaviour of the ship. Even in the presence of strong artefacts, we found that the principal inertia axes can help the estimation of the target heading and be included in an iterative procedure to erode the false target features, so to enable a more accurate evaluation of the overall measurements of the ship. Here we introduce our idea and present some results obtained from real SAR images.Source: Proceedings (MDPI) 2 (2018). doi:10.3390/proceedings2020097
DOI: 10.3390/proceedings2020097
DOI: 10.5281/zenodo.1159166
DOI: 10.5281/zenodo.1159165

See at: Proceedings Open Access | Proceedings Open Access | Proceedings Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Proceedings Open Access | Proceedings Open Access | ZENODO Open Access


2018 Report Restricted

A prototype of a wearable, wireless system for measuring leg strength
Magrini M., Righi M., Carboni A., Martinelli M., Pardini F.
This technical report describes the R&D activity regarding the realization of a prototype of a wearable wireless device which records the characteristics of body movements. The device is connected via Bluetooth to a smartphone, able to display the acceleration curves and send the recorded data to a server for storage, further processing and analysis.Source: ISTI Technical reports, 2018

See at: CNR ExploRA Restricted


2018 Conference article Open Access OPEN

Remote Sensing for Maritime Monitoring and Vessel Prompt Identification
Reggiannini M., Righi M., Tampucci M., Bedini L., Di Paola C., Martinelli M., Mercurio C., Salerno E.
The main purpose of the work described in this paper concerns the development of a platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Radar or Optical maps captured by satellite-borne sensors. More in detail, the processing chain is dedicated to (i) the detection of vessel targets in the input map, (ii) the refined estimation of the vessel most descriptive geometrical features and, finally, (iii) the estimation of the kinematic status of the vessel. This platform will represent a new tool for combating unauthorized fishing, irregular migration and related smuggling activities.Source: International Conference on Multimedia and Network Information System - MISSI 2018, pp. 343–352, Wroclaw, Poland, 11/9/2018.14/11/2018
DOI: 10.1007/978-3-319-98678-4_35

See at: ISTI Repository Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | doi.org Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | rd.springer.com Restricted


2018 Report Restricted

OSIRIS SISS: Software Tool Manual 1.0
Righi M., Salerno E.
Questo documento presenta il software "Ship Image Segmentation from SAR" (SISS) sviluppato nell'ambito del progetto OSIRIS. Le funzionalità del software sono descritte nel technical-report L. Bedini, M. Righi and E. Salerno. "OSIRIS - Segmentazione di immagini SAR", People ID 371879, 2017.Source: Research report, OSIRIS, 2018

See at: CNR ExploRA Restricted


2018 Software Unknown

OSIRIS SISS: Software Tool 1.1
Righi M., Salerno E.
Software versione 1.1 sviluppato nel progetto OSIRS. Le funzionalità del software sono descritte nel technical-report L. Bedini, M. Righi and E. Salerno. "OSIRIS - Segmentazione di immagini SAR", People ID 371879, 2017.

See at: CNR ExploRA


2018 Other Open Access OPEN

Ultrageo
Righi M., Leone G. R., Magrini M., Martinelli M., Moroni D., Della Pina F., Guidi R.
Questo documento descrive il lavoro scientifico di ricerca e il suo sviluppo denominato "UltraGEO". UltraGEO e? il cuore di un'idea nata dal Laboratorio Segnali e Immagini (SILab) dell'Istituto di Scienza e Tecnologie dell'Informazione del Consiglio Nazionale delle Ricerche con sede a Pisa e dal Comune di Massa. UltraGEO si propone come un nuovo sistema per il controllo degli smottamenti del terreno e delle frane. Per la misura degli smottamenti questo progetto di R&D prevede la realizzazione di un prototipo costituito da una rete di nodi attivi e passivi. I nodi sono adattivi in base alle caratteristiche dell'ambiente dove sono inseriti: basati su marker grafici (nodi passivi) oppure basati su marker con basse emissioni di segnali elettromagnetici e/o acustici (nodi attivi). UltraGEO e? progettato per essere modulare e utilizzabile in zone difficilmente accessibili, anche dove non vi e? nessuna sorgente di energia elettrica e non e? possibile dotare il nodo di batterie e pannelli solari. UltraGEO ha caratteristiche che vertono alla semplificazione dell'installazione dei sensori rispetto alle attuali tecnologie, riducendone i costi e semplificandone l'utilizzo nel breve e lungo periodo.DOI: 10.5281/zenodo.1492760

See at: ISTI Repository Open Access | CNR ExploRA


2018 Contribution to conference Open Access OPEN

Electronic noses for healthcare applications
Germanese D., Colantonio S., D'Acunto M., Magrini M., Righi M., Salvetti O.
Breath analysis allows for monitoring the metabolic processes that occur in human body in a non-invasive way. Comparing with other traditional methods such as blood test, breath analysis is harmless to not only the subjects but also the personnel who collect the samples. However, despite its great potential, only few breath tests are commonly used in clinical practice nowadays. Breath analysis has not gained a wider use yet. One of the main reasons is related to standard instrumentation for gas analysis. Standard instrumentation, such as gas chromatography, is expensive and time consuming. Its use, as well as the interpretation of the results, often requires specialized personnel. E-nose systems, based on gas sensor array, are easier to use and able to analyze gases in real time, but, although cheaper than a gas chromatograph, their cost remains high. During our research activity, we designed and developed the so called Wize Sniffer (WS), a device able to accurately analyze human breath composition and, at the same time, to overcome the limitations of existing instrumentation for gas analysis. The idea of the Wize Sniffer was born in the framework of SEMEiotic Oriented Technology for Individual's CardiOmetabolic risk self-assessmeNt and Self-monitoring (SEMEOTICONS, www.semeoticons.eu) European Project, and it was designed for detecting, in human breath, those molecules related to the noxious habits for cardio-metabolic risk. The clinical assumption behind the Wize Sniffer lied in the fact that harmful habits such as alcohol consumption, smoking, unhealthy diet cause a variation in the concentration of a set of molecules (among which carbon monoxide, ethanol, hydrogen, hydrogen sulfide) in the exhaled breath. Therefore, the goal was to realize a portable and easy-to-use device, based on cheap electronics, to be used by anybody at their home. The main contributions of the work were the following: design and development of a portable, low cost, customizable, easy to use device, able to be used in whichever context of use: we succeeded in this with using cheap commercial discrete gas sensors and an Arduino board; development of a method to analyze breath composition and understand individual's cardio-metabolic risk; we also validated it with success on real people. Given such good outcomes, we wanted the Wize Sniffer took a further step forward, towards the diagnosis in particular. The application field regarded the chronic liver impairment, as the studies which involve e-nose systems in the identification of liver disease are still few. In addition, the diagnosis of liver impairment often requires very invasive clinical test (biopsy, for instance). In this proof-of-concept study, the Wize Sniffer showed good diagnosis-oriented properties in discriminating the severity of liver disease (absence of disease, chronic liver disease, cirrhosis, hepatic encephalopathy) on the base of the detected ammonia.Source: Conferenza di Dipartimento CNR-DIITET Area Strategica: AS.10 - INGEGNERIA DEI SISTEMI E DELLE COMUNICAZIONI, Energy Center, Politecnico di Torino, Torino, Italy, 14 November 2018
DOI: 10.5281/zenodo.1492792
DOI: 10.5281/zenodo.1492791
Project(s): SEMEOTICONS via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | ZENODO Open Access | zenodo.org Open Access


2018 Contribution to conference Open Access OPEN

A software platform for maritime monitoring and prompt target characterization
Reggiannini M., Righi M., Tampucci M., Bedini L., Di Paola C., Martinelli M., Mercurio C., Salerno E.
The main purpose of the work described here concerns the development of a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Synthetic Aperture Radar (SAR) and Optical maps captured by satellite-borne sensors. Inspired by a computer vision approach, the mentioned platform consists of a pipeline of processing steps devoted to i) the detection of vessel targets in the input map, ii) the extraction of the vessel descriptive features and finally, iii) the estimation of the kinematics of the targets by identifying and analyzing the wake patterns on the water surface. The first task in the processing chain concerns the identification in the input map of potential vessel targets. This is obtained by a dedicated detector, based on a signal thresholding method. The threshold value is conceived as a spatially varying parameter, in order to adapt the algorithm sensitivity to the nonstationary properties of noise. A second step in the processing pipeline focuses on the analysis of the individual vessel images in order to perform morphological and radiometric measurements. At this stage, the signal is processed to refine the identification of the image pixels belonging to the vessel silhouette and to perform meaningful measurements on them. The extracted features provide quantitative attributes (length, width, pixel radiometry distribution) that can also be exploited to implement a classification module. The final stage of the processing pipeline concerns the analysis of the areas surrounding the vessel silhouette, where, in case of ship motion, a surface wake pattern is expected to be observed. A proper processing of these surface patterns allows us to estimate the route and, whenever the image resolution is large enough to observe the internal wake components, the ship velocity. By integrating the information returned by the procedures described so far, a system for maritime surveillance and vessel traffic monitoring can be developed. Given the quantitative approach inspiring each link of the processing chain, this software platform represents a reliable tool that can be exploited by concerned decision makers in critical maritime frameworks, such as unauthorized fishing counteractions or irregular migration and smuggling activities.Source: The ESA Earth Observation week, Frascati, Roma, Italy, 12-16 November 2018

See at: ISTI Repository Open Access | phiweek.esa.int Restricted | CNR ExploRA Restricted


2018 Report Open Access OPEN

OSIRIS "Optical and Sar data and system Integration for Rush Identification of Ship models" a Maritime Situational Awareness System
Salerno E., Righi M., Reggiannini M., Martinelli M., Tampucci M., Bedini L., Salvetti O., Marchetti A., D'Errico A., Bacciu C., Lo Duca A., Di Paola C., Mercurio C., Greco A., Zizi B., Mistretta A.
OSIRIS ESA Project Final PresentationSource: Project report, OSIRIS, 2018

See at: ISTI Repository Open Access | CNR ExploRA Open Access | wiki.services.eoportal.org Open Access