Sustainable nanofibres for wearable electronics

Research carried out by CNR-IMEM in close collaboration with CNR-IAS, the Departments of Chemistry and Industrial Chemistry (DICCI) and Physics (DiFi) of the University of Genoa, and the Department of Civil, Environmental and Mechanical Engineering (DICAM) of the University of Trento.

The research group led by Marco Smerieri of the National Research Council has developed conductive nonwoven fabrics composed of nanofibres produced through electrospinning. The researchers used a combination of polymers, including PEDOT:PSS and PEO, to obtain thin, lightweight, and self-supporting structures. These materials combine electrical conductivity, robustness, and mechanical resistance – essential qualities for electronic devices designed to adapt to body movements.

The study, conducted within Spoke 2 of the RAISE ecosystem, represents a significant contribution to the development of innovative materials for wearable electronics. It introduces a new class of sustainable conductive materials designed for flexible, body-contact applications such as sensors and rehabilitation devices.

The nanofibres were subjected to thermal treatment to enhance their performance. Electrical and mechanical analyses showed a clear increase in both conductivity and material strength. Tests also confirmed the fibres’ ability to maintain stability and performance even in thin and flexible configurations, supporting their integration into wearable devices.

Alongside technological aspects, strong attention was given to the environmental impact of these new materials. The team conducted a series of ecotoxicological tests on aquatic organisms—including bacteria, algae, and small crustaceans—to simulate the potential release of materials into natural ecosystems. The experiments involved both freshwater and marine species, an area still relatively unexplored for this class of materials.

The results reveal an encouraging picture: the conductive nanofibres demonstrate good environmental compatibility and did not produce significant toxic effects on the tested organisms. This approach made it possible to integrate sustainability assessment from the earliest stages of research, an increasingly central element in the development of new technological materials.

The work thus builds a bridge between materials innovation and environmental responsibility. The multidisciplinary approach combined materials science, sensor engineering, and ecotoxicology, offering a comprehensive view of the materials’ life cycle and their potential impact.

The development of a prototype sensorized glove for motor rehabilitation highlighted the application potential of these nanofibres. The device integrates pressure sensors based on the conductive fibres developed by the research group. During experimental trials, the glove recorded movements and pressure with reliable and precise measurements, paving the way for tools useful in monitoring rehabilitation pathways and assistive technologies.

The researchers identified several directions for future developments. Further studies may improve sensor stability under prolonged use, expand testing across different application scenarios, and address challenges related to large-scale production of electrospun conductive fabrics. Additional research could also integrate new functionalities into devices and deepen the analysis of long-term environmental effects.

“Within the RAISE ecosystem, we were able to develop a functional, versatile, and innovative material,” explains Marco Smerieri, coordinator of the activity, “suitable for use as a wearable, non-invasive pressure sensor across different fields, from medicine to rehabilitation, prosthetics, and even robotics. RAISE enabled us to develop and study this material from scratch, up to the realization of a sensorized glove prototype tested in the laboratory. The multidisciplinary approach is the project’s true added value: we combined the study of the mechanical properties of these new materials with the analysis of their environmental impact. The results obtained so far also allow us to consider these materials as wearable, conformable temperature sensors. We are also finalizing a patent application to protect their use in a broader context. This technology paves the way for the development of more complex sensorized systems, such as electronically sensorized artificial skin (e-skin), capable of measuring different types of tactile stimuli in real time. I would like to thank colleagues Veronica Piazza and Chiara Gambardella from CNR-IAS, Maria Pantano from the University of Trento, and colleagues Dario Cavallo and Roberto Spotorno from the University of Genoa, whose dedication and commitment made these important results possible.”

Beyond the lab: sensors and AI for a more connected approach to care

The fourth episode of “Incontri con il Futuro – Storie di innovazione dall’ecosistema RAISE”, the video-podcast created in collaboration with Rinnovabili.it, is now available. The series explores projects and key players in robotics and artificial intelligence research.

This episode has focused on a crucial topic for the future of healthcare: intelligent health monitoring. The guest is Giulia Bodo, Postdoctoral Researcher at Rehab Technologies – Italian Institute of Technology / INAIL Lab, who contributes to the activities of Spoke 2 within the RAISE ecosystem and has presented solutions developed for clinical monitoring based on environmental sensors and wearable devices.

During the conversation, the discussion has shown how these technologies have expanded the possibilities for observing and analyzing people’s health conditions, extending data collection beyond hospitals and clinical settings. Sensors embedded in environments and wearable devices have enabled continuous data acquisition, providing a more comprehensive and dynamic view of patient health.

The episode has explored applications across different clinical areas. Giulia Bodo has described how these solutions have supported the follow-up of pediatric, geriatric, and multiple sclerosis patients.

Continuous monitoring has made it possible to track the evolution of clinical conditions over time, supporting healthcare professionals in assessing care pathways and defining more targeted interventions.

The integration of sensors and artificial intelligence has played a key role. Data analysis has enabled the identification of meaningful patterns and relevant changes, providing tools to interpret complex signals and improve the quality of clinical decision-making. This approach has contributed to more personalized care, tailored to the specific needs of each patient.

The episode has also highlighted how these technologies can seamlessly fit into everyday life. Monitoring has become part of daily environments, creating continuity between clinical observation and real-world contexts. This has opened new perspectives for a more distributed healthcare model, capable of timely intervention and long-term support.

The discussion has emphasized the importance of collaboration between scientific research and clinical applications. The experience of Rehab Technologies has shown how engineering, medical, and technological expertise can converge to develop concrete solutions addressing real needs.

This episode offers a clear and accessible overview of how sensors and artificial intelligence can transform health monitoring, outlining a vision of care that is increasingly connected, personalized, and integrated into people’s lives.

Understanding human movement: new episode of the RAISE video-podcast now online

A new episode of Encounters with the “Incontri con il Futuro – Storie di innovazione dall’ecosistema RAISE”, the video-podcast created in collaboration with Rinnovabili.it, is now available. The series highlights key players and emerging frontiers in robotics and artificial intelligence research.

This episode has explored a field of strong scientific and practical relevance: the analysis of human movement and the opportunities offered by digital technologies to understand it with increasing accuracy and accessibility.

The guest of the episode is Matteo Moro, Computer Science researcher at the University of Genoa at MaLGa Center, whose work is part of Spoke 2 within the RAISE ecosystem.

During the conversation, the discussion has shown how technologies such as computer vision and machine learning have opened new possibilities in the study of movement. Analysis has relied on simple video recordings, enabling the observation and interpretation of gestures and body dynamics without the need for invasive sensors or complex laboratory equipment. This approach has made data collection and processing more accessible, supporting a wider adoption of advanced tools.

The episode has focused in particular on clinical and rehabilitation applications. Matteo Moro has explained how gait analysis represents a key area, where artificial intelligence has enabled the identification of patterns and variations useful for understanding a person’s health status. Systematic observation of movement has provided valuable insights for monitoring rehabilitation pathways and evaluating therapeutic outcomes.

The conversation has also highlighted the contribution of these technologies to the study of neurological disorders. The interpretation of visual data has made it possible to detect subtle signals, paving the way for increasingly refined tools to support diagnosis and clinical follow-up. The use of video data collected in everyday environments has also brought research closer to clinical practice, creating new opportunities for integration between technological innovation and medicine.

Throughout the episode, the dialogue has emphasized the importance of an interdisciplinary approach, where expertise in computer science, medicine, and other scientific fields has converged to develop concrete solutions. The RAISE ecosystem has provided a collaborative environment in which these synergies have taken shape, fostering tools capable of addressing real-world needs.

This new episode offers a clear and accessible overview of how artificial intelligence can help interpret the language of the human body, transforming visual data into meaningful knowledge for research and healthcare. It presents a perspective in which innovation brings advanced technologies closer to everyday life, opening concrete opportunities for the future of health and well-being.

R1, the robot bringing AI into everyday environments

Within the innovation ecosystem RAISE – Robotics and AI for Socio-economic Empowerment, research in robotics has led to the development of new solutions capable of integrating artificial intelligence with smart environments.

Among these, R1 stands out: a service robot developed at the Italian Institute of Technology, designed to operate in everyday contexts such as homes, healthcare facilities, and public spaces dedicated to reception and information services.

Throughout the RAISE activities, researchers and technicians from the IIT’s Humanoid Sensing and Perception research line worked on advancing R1’s capabilities within Spoke 2, focused on urban technologies for inclusive environments. The team contributed to Work Package 1, focusing on the evolution of the robot as an assistant capable of interacting with both people and digital infrastructures.

“We are here with R1, our service robot, to showcase the activities carried out within the project,” explained Ettore Landini, Senior Technician in the HSP (Humanoid Sensing and Perception) research line, during a demonstration of the applications developed. The team designed R1 as a domestic and informational assistant, capable of operating in homes, hospital halls, and information points.

The work involved several research groups within the RAISE ecosystem. In particular, the team collaborated with the Pattern Analysis and Computer Vision (PAVIS) laboratory to integrate the robot into a smart environment, where sensors and AI systems collect data and transform it into useful services for people. In this context, R1 played a central role: it acted as a physical agent capable of receiving information from the digital environment and acting directly within the real world.

The researchers focused on two main capabilities. The first concerns voice interaction: R1 can understand commands expressed in natural language and engage in intuitive dialogue with users. This approach enables even non-expert users to interact with the robot and request services easily and immediately.

The second area of development concerns object manipulation. The robot has acquired the ability to recognize and grasp objects in its environment and move them according to user requests. During demonstrations, R1 identified an object on a table through its vision system, picked it up, and transported it to a location indicated by the user.

On the monitor connected to the robot, it was possible to observe in real time what R1 perceived through its sensors: the surrounding environment, the table, and the object identified by the computer vision system. Once the grasping task was completed, the robot transported the object to the designated location and then returned to its starting position.

The team conducted experimental tests at the Center for Human Technologies at IIT in Erzelli (Genoa), where they validated the software architecture for autonomous navigation in structured environments. Tests with volunteers made it possible to assess the effectiveness of interactions and the robot’s ability to move safely within different spaces.

The story of R1 began in 2016 in Genoa, with the completion of the first prototype. In the following years, the project evolved both hardware and software, leading to the current version, which found in the RAISE program an ideal context for experimenting with new applications related to everyday life.

Through these activities, RAISE has demonstrated how robotics can become a concrete component of the smart environments of the future. R1 represents an example of integration between artificial intelligence, robotic perception, and services for people, opening new scenarios for assistance, information, and support in cities and care environments.

The RespirArTe Project, within Spoke 2 and Spoke 1

RespirArTe is an innovative protocol and technology operating in two areas:
– support for the rehabilitation of frail older adults in hospitals or nursing homes;
– new forms of enhancement of cultural heritage across the territory within an inclusive and rehabilitative framework, defining a concept of health understood holistically as the reconstitutable harmony in the relationship between a person’s physical, intellectual, emotional, and social functions.

RespirArTe offers interactive experiences aimed at coordinating breathing and full-body movement through the progressive discovery of emotions such as awe, wonder, and the sublime, evoked by landscape paintings.

In the first specific use case, the objective is to break the sense of confinement that may emerge in elderly patients, metaphorically opening a window onto the outside world through immersive landscape paintings projected onto the walls, stimulating a sense of wonder.

In RespirArTe, art is both a source of inspiration and a central element of interaction, creating an affective and aesthetic bond through expressive bodily interaction.

The system is based on the principles of Slow Mood and Aesthetic Resonance, using innovative artificial intelligence technologies and real-time movement analysis and sonification, with the aim of enabling physical and cognitive exercise in an engaging and immersive context. The goal is to evoke a sense of awe and wonder through the discovery and contemplation of landscape paintings.

RespirArTe was tested during the Spoke 1 event “Real Inclusion: when the home becomes a museum and the museum becomes a home again” (3 December 2025, Palazzo Reale, Genoa), held on the occasion of the International Day of Persons with Disabilities.

The project is developed by InfoMus–Casa Paganini (University of Genoa) within the RAISE ecosystem, Spoke 1 and Spoke 2.

In light of the activities carried out and the results achieved, RespirArTe represents an integrated and replicable approach that combines scientific research, technological innovation, and cultural enhancement, contributing to the development of inclusive practices for the promotion of personal health and well-being.

Cover image
Author: Marzio Cardellini (Bluframe)
Credits: RAISE

DanzArTe – Emotional Wellbeing Technology within Spoke 2 and Spoke 1

DanzArTe – Emotional Wellbeing Technology comprises a new scientifically and clinically validated protocol (thanks to the collaboration with the Galliera Hospital of Genoa, Geriatric Care Unit) and a cost-effective technological platform for the treatment of older adults at risk of frailty and for the active enjoyment of artistic content.

DanzArTe involves interaction with visual content (visual arts artworks) and sound content (interactive sonification): an innovative protocol that supports active experience (aesthetic resonance) with art underpins an interactive system for physical activity and cognitive stimulation adapted to the needs of frail or at-risk older adults. Dancing Art as physical activity and as a cognitive memory-training exercise to rediscover oneself through dance (Dancing Art, dancing You).

Through DanzArTe, participants are brought into particularly intense contact with the world of art and discover new ways of enhancing local cultural heritage within an inclusive and rehabilitative dimension, defining a concept of health understood globally as the reconstitutable harmony in the relationship between the physical, intellectual, emotional, and social functions of the person.

Through artificial intelligence technologies and real-time analysis and sonification of movement, DanzArTe interactively guides participants, individually or in groups, to reconstruct the gestural contents (and their consequent emotional values) of ancient works of sacred art, through simple movements and revealing manipulations of sounds and images.

DanzArTe’s emotional wellbeing technology (multimodal and interactive) transforms “physical contact” with the artwork into a new collective amateur practice which, by emotionally engaging movement and memory, creates a compelling community experience.

The project has been tested and implemented in 10 residential care facilities (RSA) in Liguria and Piedmont, at the international rehabilitation center Villa Beretta (Lecco), and in senior community centers. It has also extended into museum institutions across Liguria and Piedmont, including pilot activities at the Diocesan Museum of Genoa and at Palazzo Reale.

The DanzArTe project originated as one of the four pilot projects of the Cultural Wellbeing Lab of Compagnia di San Paolo. The artificial intelligence technologies for real-time movement analysis and sonification derive from results achieved within the EU H2020 FET PROACTIVE project EnTimeMent.

Since 2023, within the RAISE project, DanzArTe has been further developed and expanded for the active enjoyment of cultural content and artworks from a cultural wellbeing and audience engagement perspective.

The outcomes of this new phase of the project were presented and tested at Galliera Hospital (August 2025) within Spoke 2 of the RAISE project, and in Spoke 1 pilot activities with the public during Alzheimer Fest (Chiavari, September 2025) and at the event Real Inclusion: when the home becomes a museum and the museum becomes home again, December 3, 2025, at Palazzo Reale in Genoa, on the occasion of the International Day of Persons with Disabilities. These activities were carried out by InfoMus–Casa Paganini within Spoke 1.

Within this framework, DanzArTe emerges as an innovative and replicable model for integrating art, technology, and care, capable of generating cultural, social, and health value, and of making a significant contribution to the goals of inclusion, wellbeing, and territorial impact promoted by the RAISE project.

Cover image
Photo author (video frame): Marzio Cardellini (Bluframe)
Credits: RAISE

Data that speak to clinicians: co-design for customized metrics and dashboards

In recent weeks, the RTECH and PAVIS groups from IIT, part of Spoke 2 of the RAISE project – focused on the development of sensorized rooms – organized a series of co-working sessions with clinical partners at the Gaslini Hospital, FISM and Galliera Hospital.

These meetings offered a concrete opportunity for researchers, engineers, physicians, and therapists to exchange ideas, share strategies to rationalize experimental results, and design practical support tools for daily clinical practice.

During the sessions, the group presented the data collected through three study protocols approved by the Territorial Ethics Committee, illustrating the different types of patients involved and the methods used to acquire biometric signals in the sensorized rooms. The project, which aims to integrate technological and clinical expertise, has now reached an advanced stage of its experimental activities.

The research conducted at FISM involved subjects with multiple sclerosis and healthy control groups, while at Galliera Hospital the work focused on the geriatric population, including patients with major neurocognitive disorders, subjects with sarcopenia, and healthy individuals hosted in the sensorized apartment. Also at Galliera, the group monitored day-hospital patients to assess posture at rest and fall risk. Meanwhile, at Gaslini Hospital, children with hemiparesis and their caregivers were studied, exploring the potential of sensorized technologies to analyze movement and the spatial relationship between adult and child.

At the Erzelli laboratory, the team collected data on healthy child–caregiver dyads and, in collaboration with the IIT HSP group, on adult subjects performing locomotion tasks assisted by the R1 robot. The goal was to study variations in gait and interaction strategies that could be adopted to guide subjects during movement in unfamiliar environments.

The dataset gathered through these activities provided a solid foundation for the subsequent analysis phase. To make the most of it, the group organized a series of workshops and brainstorming sessions with clinical partners to identify the most meaningful metrics derived from the sensors and to define clear, accessible, and operationally coherent ways to visualize the results.

During these sessions, the need for customized dashboards emerged—tools capable of quickly displaying the most relevant information for patient assessment and monitoring. Participants jointly analyzed case studies, discussing which indicators were most useful in each clinical context and how to translate them into intuitive visualizations that could facilitate data interpretation and decision-making.

These co-design activities marked an important step in integrating research with clinical practice. Direct collaboration with healthcare professionals made it possible to steer technological solutions toward real needs, strengthening the connection between scientific innovation and patient care.

The work carried out within Spoke 2 thus contributed to the overall mission of RAISE: to create a research and innovation ecosystem capable of developing inclusive and intelligent technologies designed around people and the improvement of quality of life.

Spoke 2: a new publication on ultrasound imaging

The volume Real-Time Processing of Ultrasound Images. State-of-the-Art and Future Perspectives (October 2025) is about to be released. This work provides a thorough and systematic overview of the most advanced techniques for real-time ultrasound image processing.

The book is authored by Giuseppe Patanè and Simone Cammarasana, researchers at the Institute of Applied Mathematics and Information Technologies “Enrico Magenes” of the National Research Council (CNR-IMATI) in Genoa, both actively involved in the activities of Spoke 2 of the RAISE project.

The volume is intended as a highly significant contribution to the scientific and clinical community working at the intersection of medical imaging and real-time signal processing. Ultrasound is one of the most widespread and commonly used diagnostic techniques in healthcare, thanks to its safety, lack of radiation, portability, and relatively low cost. These characteristics make it an irreplaceable tool in many clinical settings, ranging from emergency care to preventive medicine. However, the quality of ultrasound images can be affected by intrinsic limitations such as speckle noise and suboptimal resolution, which may reduce the accuracy of diagnostic interpretation.

The book addresses these challenges with a targeted approach, presenting innovative solutions for improving image quality. Particular emphasis is placed on denoising techniques, aimed at reducing noise without compromising clinically relevant details, and on super-resolution methods, which enhance image definition, making anatomical structures and potential anomalies more clearly visible. In this way, the work serves as a reference guide for those seeking to develop new processing methodologies or introduce advanced tools into everyday clinical practice.

RAISE Spoke 2 - Una nuova pubblicazione sull’imaging ecografico

One of the distinguishing features of the text is the breadth of topics covered. It goes beyond the analysis of static two-dimensional images to include dynamic 2D sequences and three-dimensional volumes, demonstrating how real-time processing can significantly enhance diagnostic capabilities and disease monitoring. In addition to providing an extensive review of current solutions, the authors also offer comparative evaluations, reflections on hardware and computational requirements, and practical guidance for implementation in clinical and research settings.

The publication by Giuseppe Patanè and Simone Cammarasana fits fully within the framework of research and development activities carried out by Spoke 2, whose objective is the development, validation, and integration in clinical contexts of a new generation of AI-based diagnostic imaging systems. The goal is to strengthen screening, early diagnosis, monitoring, and clinical decision support, while also addressing issues related to data quality and interoperability, the construction of trustworthy and transparent AI systems, and compliance with national and European regulatory and organizational frameworks.

The volume Real-Time Processing of Ultrasound Images makes a significant contribution to these strategic objectives by offering an updated overview of available technologies and outlining the future perspectives of ultrasound imaging. It stands as a concrete example of how the research conducted within Spoke 2 of RAISE can translate into tangible results benefiting the scientific community, healthcare professionals, and ultimately, patients.

The results of the INVICTUS trial for personalized post-stroke rehabilitation

The trial of INVICTUS, an innovative platform that integrates wearable sensors, artificial intelligence, and cloud technologies to support motor rehabilitation for individuals with limb impairments, is in its final stages. The goal is to validate an ecosystem capable of remotely monitoring, analyzing, and supporting rehabilitation activities, both in clinical settings and in everyday life.

The trial involved a group of 12 elderly volunteers (aged 65–80), thanks to the collaboration with Auser Liguria. These volunteers used the INVICTUS ecosystem in a controlled environment at the Savona Campus (University of Genoa), following personalized motor exercise programs. The workflow involves patients using various devices in combination to perform customized rehabilitation exercises, while data is collected, analyzed, and made available to healthcare professionals for continuous monitoring and potential therapy adjustments.

The initiative was presented in Savona in the presence of Marco Testa (UniGe, project stakeholder), Anna Giacobbe (Auser Savona), and project partners.

INVICTUS is part of Spoke 2 within the RAISE ecosystem and was awarded funding through a cascading grant by Spoke 5.

At the heart of the project is a set of interconnected components:
– Sentry (Swhard Srl), an upper limb tracking system based on inertial sensors (IMUs);
– Pinch (EMAC Srl), a CE-certified device for measuring and rehabilitating fine hand movements;
– WeTAG (SmartTrack), an indoor geolocation system for patient tracking;
– AI module (MareGroup), for the automatic recognition of specific exercises within the patient’s overall daily movement;
– Web app (Nextage), for monitoring completed exercises and analyzing aggregated data;
– All supported by a GDPR-compliant cloud platform, a Windows app for managing patients and exercises, and an augmented reality exergame (XR headset), i.e., a video game designed to guide patients through specific exercises.

The INVICTUS trial marks a key step toward its validation as a scalable tele-rehabilitation solution, initially in Liguria and potentially at the national level. The integration of advanced sensors, XR headsets, artificial intelligence, and geolocation systems enables the collection and analysis of previously unavailable data, paving the way for personalized therapies, continuous progress monitoring, and timely interventions.

If results meet expectations, INVICTUS could be adopted in hospitals, rehabilitation centers, and home settings—helping reduce healthcare costs and improve patients’ quality of life—while positioning Liguria as a leader in digital health.

The trial provides multi-level feedback: from healthcare professionals testing its functionality in the field; from volunteers, through anonymous questionnaires evaluating usability and critical issues; and from stakeholders, who assess its clinical impact.

These insights will guide the project’s next steps: enhancing its intuitiveness, ensuring interoperability with existing healthcare systems, and preparing for future large-scale multicenter studies.

Cover Image
Testing the INVICTUS platform
Author: INVICTUS
Credits: INVICTUS and RAISE

AI-MOKa project progress at the International Society of Posture and Gait Research Congress

A simple daily gesture like making coffee can reveal a lot about our mobility and attention, especially in people with neurological conditions like multiple sclerosis (MS).

This is why AI-MOKa (AI-enhanced assessment of Motor and prOcess sKills in people with multiple sclerosis) was developed as part of RAISE’s Spoke 2 project: an innovative monitoring system based on wearable sensors and Artificial Intelligence algorithms, capable of simultaneously assessing movement and cognitive load during daily activities.

In recent months, the researchers involved in the project have completed the first pilot study, in which AI-MOKa was tested on a group of healthy participants to verify its feasibility and usability, with a view to future application to people with MS.

Participants performed the task of making coffee in a fully equipped kitchen, wearing Tobii Pro Glasses 3 to monitor their visual environment and pupil dilation, and Sensing Tex insoles to detect the distribution of foot pressure.

Thanks to sophisticated AI algorithms, the system identified in real time the different operational areas of the kitchen, the phases of the task, and interactions with objects such as cups, sugar, and the coffee pot. Quantitative data were then extracted on gait (number of steps), balance (weight distribution between the left and right foot), and cognitive load (variations in pupil diameter).

The results are promising: AI-MOKa detected an average of 159 total steps during the task, with increased cognitive engagement during the more complex phases such as handling the moka pot and serving the coffee. Furthermore, participants rated the system positively in terms of comfort (4.1/5), low intrusiveness (5.0/5), and usability (4.8/5), emphasizing its natural feel and suitability for use in real-world environments.

This initial study demonstrates the potential of AI-MOKa to comprehensively monitor movement and attention during household activities, paving the way for future clinical developments.

The study results were presented at the International Society of Posture and Gait Research Congress.

The authors of the study and poster are:
– Ludovico Pedullà, Erica Grange, Andrea Tacchino, Jessica Podda, Giampaolo Brichetto (Scientific Research Area, Italian Multiple Sclerosis Foundation, Spoke 2);
– Giulia Bodo, Sara Giordanino, Alexey Petrushin, Matteo Laffranchi (Rehab Technologies Lab, Italian Institute of Technology, Spoke 2);
– Giulio Sciortino, Gian Luca Bailo, Carlos Beltran-Gonzalez, Alessio Del Bue (Pattern Analysis and Computer VISion Lab (PAVIS), Italian Institute of Technology).

Next steps will include expanding the sample, technically refining the system, and, most importantly, applying it to people with multiple sclerosis to support functional assessment and personalize rehabilitation interventions.

RAISE’s AI-MOKa represents a new frontier in ecological and personalized assessment of the daily challenges experienced by those living with neurological conditions.

Image Cover
Ludovico Pedullà (FISM, Spoke 2) at the International Society of Posture and Gait Research Congress
Author: Costanza Iester (UniGe)
Credits: UniGe and RAISE

Finaziato dall'Unione Europea Ministero dell'Università e della Ricerca Italia Domani Raise