ATTICUS (Ambient-intelligent Tele-monitoring and Telemetry for Incepting & Catering over hUman Sustainability) is a tele-service and remote monitoring system for ambient-assisted living based on the analysis of vital and behavioural parameters. ATTICUS finds fertile ground in all contexts where there is a small number of digitized services and home help for the citizen, and for those categories of individuals who tend to be more at risk, such as elderly people or people with disabilities. The aim of the ATTICUS project is to develop an intelligent hardware/software system that can constantly monitor an individual and report anomalies affecting both the health status (through the analysis of vital parameters) and the behaviour, detected through the monitoring and analysis of the moves that the person performs in carrying out his/her activities. The core component is represented by a Smart Wearable, a t-shirt made of innovative fabrics, embedding a data acquisition system (integrating into the fabric) that can measure vital parameters. The electronic device is capable of analysing both home and exterior user movements and to process and store locally acquired data and, whenever possible, transmit them in real time via wireless connection, to a home station (ambient intelligence device) or a monitoring station.
MIPHAS (Military Performances and Health Analysis System) is a hardware/software system able to detect and analyze the vital signs of an individual through the use of wearable systems when practicing sports. The novelty of the MiPHAS system lies in the ability to (i) adapt to the real conditions of the person, modifying the monitoring activity; (ii) analyze the data collected through the use of automatic learning techniques in order to suggest anomalous and/or critical situations both in the vital signs or in the performance of the athlete. MIPHAS is a project based on an innovative technology designed to monitor the vital signs of individuals during training sessions. Indeed, MIPHAS has been devised for athletes and specialized trainers, as final users of the system. The objectives of the system are therefore based on an individualistic approach (e.g., personalized training strategies and techniques), thanks to the continuous and automatic analysis of the physical conditions of an athlete. The architecture turns out to be the composition of a multi-component technology, which includes a Wearable Sensor Part, in the form of a t-shirt equipped with innovative sensors able to detect and acquire vital signs.
The 2VitaB system is designed to support the physical rehabilitation process. The system creates a link between the therapist and the patient as well as provides different types of support in the rehabilitation exercises execution. The technological novelty of the 2vitaB-Physical system is delivered to provide two types of support: (i) guiding patients during the execution of rehabilitation exercises and (ii) evaluating the rehabilitation exercises. It is worth noting that the first one is a support designed for the patient to conduct the rehabilitation exercises in the most correct way possible while the second is for the physiotherapist because the system itself provides an automatic assessment of an exercise, to be intended as medical support for this user.
The NovaTellus project aims to develop an innovative IT solution integrated with new technologies and processes for precision farming and sustainable agriculture capable of application in different contexts. The NovaTellus Project, thanks to the implementation of Big Data Analysis on Open Data and digitization processes of the farm, aims to promote increased productivity, lower production costs, increased competitiveness and sustainability, including environmental sustainability, of agricultural processes. To achieve the described objectives, the project, through a significant research activity, aims to integrate different innovative technologies such as, for example, Big Data Analysis, Machine Learning, Predictive and Prescriptive Analysis, Drones and UAV, IOT, Satellite Systems, Geo-Location Systems, Wireless Sensor Networks, etc.. The project, in particular, has as its explicit objective to analyze and integrate technologies that can maximize the effectiveness of the large amount of data available in favor of the management processes of the farm, in line with EU guidelines on the development of Precision Agriculture and with the processes that the Public Administration adopts in the provision of aid and control in the field. This innovative solution will ensure access to support systems for precision agriculture without significant limitations arising from extension, location, technological equipment, level of infrastructure available and with costs fully compatible with the added value offered by the solution that, where required, can integrate data from detection systems in the field owned by the farm.
The EDAM (Explainable DiAgnosis recoMmender) project aims to define a system based on XAI (Explainable AI) techniques, able to combine data from the analysis of posture and gait of an individual with other clinical biomarkers in order to monitor and predict specific diseases.