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2022 Journal article Open Access OPEN
A case study of upper limb robotic-assisted therapy using the track-hold device
Righi M., Magrini M., Dolciotti C., Moroni D.
The Track-Hold System (THS) project, developed in a healthcare facility and therefore in a controlled and protected healthcare environment, contributes to the more general and broad context of Robotic-Assisted Therapy (RAT). RAT represents an advanced and innovative rehabilitation method, both motor and cognitive, and uses active, passive, and facilitating robotic devices. RAT devices can be equipped with sensors to detect and track voluntary and involuntary movements. They can work in synergy with multimedia protocols developed ad hoc to achieve the highest possible level of functional re-education. The THS is based on a passive robotic arm capable of recording and facilitating the movements of the upper limbs. An operational interface completes the device for its use in the clinical setting. In the form of a case study, the researchers conducted the experimentation in the former Tabarracci hospital (Viareggio, Italy). The case study develops a motor and cognitive rehabilitation protocol. The chosen subjects suffered from post-stroke outcomes affecting the right upper limb, including strength deficits, tremors, incoordination, and motor apraxia. During the first stage of the enrolment, the researchers worked with seven patients. The researchers completed the pilot with four patients because three of them got a stroke recurrence. The collaboration with four patients permitted the generation of an enlarged case report to collect preliminary data. The preliminary clinical results of the Track-Hold System Project demonstrated good compliance by patients with robotic-assisted rehabilitation; in particular, patients underwent a gradual path of functional recovery of the upper limb using the implemented interface.Source: Sensors (Basel) 22 (2022). doi:10.3390/s22031009
DOI: 10.3390/s22031009
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See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.mdpi.com Open Access


2022 Other Unknown
Slide corso di Elementi di informatica e applicazioni giuridiche - CdL in Diritto dell'Innovazione per l'impresa e le istituzioni
Righi M.
Slide utilizzate durante docenza del corso Elementi di informatica e applicazioni giuridiche - CdL in Diritto dell'Innovazione per l'impresa e le istituzioni.

See at: CNR ExploRA


2022 Other Open Access OPEN
Tecnologie didattiche
Righi M.
Questo documento riassume le principali tecnologie didattiche hardware e software utilizzabili in base all'età per lo sviluppo dei concetti scientifici nelle nuove generazioni.DOI: 10.5281/zenodo.6968690
DOI: 10.5281/zenodo.6968689
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See at: ZENODO Open Access | ZENODO Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2022 Conference article Open Access OPEN
Towards multi-camera system for the evaluation of motorcycle driving test
Leone G. R., Righi M., Moroni D., Paolucci F.
This work describes the early stage of an interactive and accelerated AI-driven framework for Practical Driving Courses and Driving Licence Exams. The core of the project is an innovative multi-parameter AI-assisted telemetry system able to compute test scores and outcome, useful for human-neutral auditability of Driving Licence Exams. The distributed Artificial Intelligence (AI) system available at the Track Testbed will be able to perform driving behaviour classifications and will suggest specific improvements based on the analysis of vehicle trajectories acquired during the driving test. Finally, the project will target the creation of a large dataset for driving test classification of key performance parameters. The system is envisioned to have a relevant impact on all the certification, driving licence operators and regulator entities.Source: PRELUDE 2022 - International Workshop on PeRvasive sEnsing and muLtimedia UnDErstanding - In conjunction with SITIS 2022, Dijon, France, 19-21/10/2022

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


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
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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 Annual Report, ISTI-2021-AR/001, pp.1–38, 2021
DOI: 10.32079/isti-ar-2021/001
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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

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2021 Report Restricted
Track-Hold System (THS): sperimentazione e validazione delle soluzioni tecnologiche derivanti dal progetto Track-Hold
Dolciotti C., Magrini M., Moroni D., Righi M.
Il progetto Track-Hold System (THS), realizzato in struttura sanitaria e quindi in un ambito sanitario controllato e protetto, si inserisce nel più generale e ampio contesto della Robotic Assisted Therapy (RAT). La RAT rappresenta una metodica di riabilitazione, sia motoria che cognitiva, più avanzata e innovativa e si avvale di dispositivi robotici attivi, passivi e facilitanti, spesso dotati di sensori di rilevazione e tracciamento di movimenti sia volontari che involontari, e di protocolli multimediali appositamente elaborati per raggiungere il massimo livello possibile di rieducazione funzionale. La RAT, al pari delle metodiche convenzionali di riabilitazione (ad es Metodo Perfetti, Mirror Therapy, Biofeedback, etc.) richiede la stretta collaborazione tra i componenti del Team Multidisciplinare, che nella RAT, oltre al Medico e al Terapista, prevede la presenza del Fisiologo e dell'Ingegnere Biomedico ed Informatico.Source: ISTI Project report, THS, 2021

See at: CNR ExploRA Restricted | zenodo.org Restricted


2021 Report Open Access OPEN
Introduzione al trattamento del rumore nelle protesi acustiche
Righi M., Bertini G.
La presente nota, prende spunto da un argomento oggetto di un seminario effettuato in DAD per gli studenti del 3° anno del corso di laurea in Tecniche Audioprotesiche (aa 2020 - '21), nel quale sono state trattate le varie strategie adottate nelle protesi acustiche per diminuire gli effetti del rumore acustico sul parlato. Ultimamente alcune di tali tecniche adottano soluzioni basate su reti neuronali e criteri di intelligenza artificiale. Prima di illustrare le varie soluzioni viene anteposta una breve descrizione delle varie tipologie di rumore, la modalità della sua stima e gli effetti che può provocare sull'apparato uditivo umano. Viene dato un cenno anche ai tentativi proposti per rendere udibili alcuni particolari segnali non verbali, cioè vari tipi di allarmi, che invece è bene non vengano attenuati.Source: ISTI Technical Report, ISTI-2021-TR/020, 2021
DOI: 10.5281/zenodo.5792649
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See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Journal article Restricted
WhatsApp: aggiornamento termini e condizioni di utilizzo
Martorana M., Brecevich V., Righi M.
WhatsApp e privacy: aspetti tecnico-giuridiciSource: Altalex (Monsummano Terme) (2021).

See at: CNR ExploRA Restricted | www.altalex.com Restricted


2021 Report Open Access OPEN
RSIEVE: considerazioni sulla generazione dei numeri primi
Righi M.
Appunti sulla generazione dei numeri primiSource: ISTI Technical Report, ISTI-2021-TR/021, pp.1–15, 2021
DOI: 10.32079/isti-tr-2021/021
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See at: ISTI Repository Open Access | CNR ExploRA Open Access


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
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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

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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

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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
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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

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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
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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
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See at: ISTI Repository Open Access | conferences.computer.org Restricted | doi.org Restricted | CNR ExploRA 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
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See at: doi.org Open Access | ZENODO Open Access | ZENODO Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | www.mdpi.com Open Access | www.mdpi.com Open Access