One common consequence of specific medical conditions such as stroke or other brain injuries, and certain operations, is the need for post event rehabilitation. In many cases, the inability to walk properly requires professionally monitored gait rehabilitation. Gait rehabilitation is important to restore the gait performance of mobility impaired patients and gait training frequency represents a key factor for effective rehabilitation. GaitREHub aims to develop an effective, comprehensive approach to providing targeted home-based gait rehabilitation, by integrating cutting-edge technologies, from the areas of (1) computer-based design and modelling of customized smart insole/socks, (2) wearable sensors and flexible embedded electronics realization, (3) home assistive robots, data analytics and artificial intelligence algorithms development as well as user-friendly software tool for gait rehabilitation, and (4) pre-clinical validation of the developed holistic, integrated and interactive system (our “REHub”). The GaitREHub consortium consists of international recognized institutions and organizations, 4 from academic and 3 from industrial sector, from Belgium, Italy, Greece, Serbia, Chile and Thailand. GaitREHub will facilitate the exchange of knowledge, skills and competencies throughout 199 person-months of carefully planned secondments, promoting international and interdisciplinary collaboration and disseminating the project results to all stakeholders. This interdisciplinary and inter-sectorial project offers an excellent research and innovation environment for the personal and professional growth of the seconded staff members. The outputs of GaitREHub will effectively enhance the personalized rehabilitation of neurologically injured patients and any other patient in need of gait rehabilitation, while also sustaining R&I collaboration within the consortium, developing the potential for commercialization, and working to improve health outcomes for our society.

AGILE project aims to create an open, flexible and widely usable IoT solution at disposal of industries (startups, SMEs, tech companies) and individuals (researchers, makers, entrepreneurs) as a framework that consists of: • A modular IoT gateway enabling various types of devices (wearables, home appliances, sensors, actuators, etc.) to be connected with each other and to the Internet; • Data management and device control maximizing security and privacy, at local level and in the cloud, technologies and methodologies to better manage data privacy and ownership in the IoT; • Support of various open and private clouds; • Recommender and visual developer’s interfaces enabling easy creation of applications to manage connected devices and data; • Support of mainstream IoT/M2M protocols, and SDKs from different standardization bodies for device discovery and communication; • Two separate gateway hardware versions: a) the ‘maker’s version, based on the popular RaspberryPi platform for easily prototyping and attracting the current community; b) the ‘industrial’ version for more industrial and production-ready applications; • An ecosystem of IoT applications shareable among users and developers leveraging on existing initiatives by key stakeholders in this domain, like Canonical and Ubuntu Snappy IoT ecosystem. Piloted in relevant open areas (fields and in a port) for field & cattle monitoring through drones, air quality & pollution monitoring and in smart retail, AGILE will be easily adaptable and usable in different contexts serving as an horizontal technology for fast IoT prototyping and engineering in different domains. Following an open hardware/software approach, harnessing the power of IoT developers and entrepreneurs communities, AGILE aims to offer tools to overcome limitations imposed by closed and vertical walled gardens for IoT apps development, offering a fully open platform for integration and adaptation with 3rd parties enabling a new marketplace for IoT apps

AI4Work will investigate practical methods and tools for optimal sharing of work between humans and AI/robots. AI and robotics are likely to be most powerful means for radical improvement of working conditions in diverse domains, as they can support human operators in diverse tasks starting from difficult and tedious manual labor tasks up to complex decision-making tasks. The vision of the AI4Work project is to improve communication and collaboration between humans, AI and robots, allowing for an improvement of the working conditions within different processes in organisations in several domains in terms of increased efficiency of work, reduction in stress upon employees, increased confidence in decision-making process etc. Due to the high level of uncertainty in modern organisations an appropriate balance between human and machine activities must be found. The key assumption is that to cope with the required flexibility and dynamics, Sliding Work Sharing (SWS), where this balance varies during the operation depending on the situational context, machine-based confidence levels and human interactions, is likely to be the most appropriate for modern organisations. The key challenge of the project is to develop a set of common methods and tools (methodology framework, digital twin service platform, SW building blocks for SWS) that can be applied in diverse sectors and with different AI/robotics services, allowing for an effective experience exchange. The project will make use of living digital twins of working systems as a mean to increase efficiency and trustworthiness of AI/robotics solutions. By this, the project, aiming at improved quality of jobs and creating more decent work for human operators, will contribute to the acceptance of the AI/robots support of work in diverse domains. The project will be driven by six pilots in different sectors: logistics, manufacturing industry, construction, healthcare, education and agriculture.

Today’s rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. CrowdHEALTH will introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs will be transformed into Social HHRs communities capturing the clinical, social and human context of the population segmentation and as a result the collective knowledge for different factors depending on the communities formulation criteria (e.g. demographics, diseases, lifestyle choices, nutrition, etc). CrowdHEALTH will deliver a secure integrated ICT platform that seamlessly integrates big data technologies across the complete data path, providing of Data as a Service (DaaS) to the health ecosystem stakeholders. CrowdHEALTH will develop policy modeling techniques to facilitate the inclusion of Key Performance Indicators (KPIs) in policies and the correlation of these KPIs both with all health determinants captured in HHRs and with information from other domains towards a “health in all policies” approach. Creation and co-creation (cross-domain) of policies will be feasible through a rich toolkit, which will be provided on top of the DaaS, incorporating mechanisms for causal and risk analysis, as well as for compilation of predictions. Through the toolkit, multi-modal targeted policies addressing various time scales (long- / short- term), locations (area, regional, national, international), populations, and evolving risks will be realized. CrowdHEALTH will facilitate policies evaluation (on complete policy and per-KPI levels) and optimization through adaptive and incremental visualizations of simulations and outcomes of evidence based analysis of prevention strategies. CrowdHEALTH will collect data and will be validated through 5 pilots addressing different environments (care centers, social networks, public environments, living labs, diseases monitoring).

Advances in healthcare IT systems have resulted in complex socio-technical architectures, which deliver integrated and patient-centered services. All these transformations, in addition to clinical benefits, they also introduce risks including security risks that need to be understood and managed, reduced to acceptable levels. There are numerous reports of new types of security vulnerabilities for this kind of architectures, which challenge the effectiveness of the current security tools. MEDSECURANCE will conceive novel methodologies, infrastructures, and technologies that enable an effective, harmonious and continuous development and evolution of secure system engineering management activities in Internet of Medical Things (IoMT). Our objective is to advance knowledge and basic understanding of decision making in diverse IoMT threat landscapes based on different system and component level interactions. This is accomplished via the development of a novel holistic strategy that considers the interdependence of several IoMT subsystems, information exchange, risk thresholds, and regulatory ramifications. We provide scalable and verifiable secure system engineering management solution(s) that capture, communicate, and act on these complexities in order to improve decision-making in cyber defence while automating cybersecurity assurance. Our solution(s) will be co-developed and validated with our medical industry user partners, and complemented by engagement of healthcare industry stakeholders in support of the recommendations to existing guidelines that will also be developed in the project.