IoTip (Internet of things in Package) is a development platform that stimulates the creation of new IoT solutions, to enable former low-tech industries, such as footwear or textile industries, to embed technology in their solutions yielding a differentiated product.
Pandlets are a novel architecture of embedded electronics for wireless devices that can be used to develop Wearable and IoT solutions. This architecture has been used in several internal and external projects that range from home appliance control, indoor farming to fall detection and activity monitoring, and it is designed for a seamless integration with mobile platforms, as a foundational design for new IoT devices.
Wireless Gateway for the Internet of Things (WGW4IoT) is targeted for industrial environments, being a valuable asset to efficiently monitor, manage, and control industry processes, thus leading to high operational efficiency and reduced costs.
The 'Deus ex Machina' project tackles societal challenges with two research lines: one will research and create building blocks in target domains, while the second will put these building blocks at the service of pressing societal needs.
This project presents a set of actions in the field of dissemination and diffusion of new knowledge and technologies generated in R&D and further actions in the field of effective demonstration of this knowledge, intending to make a remarkable contribution to overcome circumstantial difficulties and to be able also to demonstrate a model of good practice in technology transfer to the other entities of the Portuguese system of R&I.
SV4D is a collection of hardware and software tailored to promote the digital inclusion and improve the quality of life of citzens in undeserved communities.
The 'Deus ex Machina' project tackles societal challenges with two research lines: one will research and create building blocks in target domains, while the second will put these building blocks at the service of pressing societal needs.
This project presents a set of actions in the field of dissemination and diffusion of new knowledge and technologies generated in R&D and further actions in the field of effective demonstration of this knowledge, intending to make a remarkable contribution to overcome circumstantial difficulties and to be able also to demonstrate a model of good practice in technology transfer to the other entities of the Portuguese system of R&I.
The SV4DMZ project aims to deploy praças digitais in different districts of Mozambique, to allow locals to explore the digital world and further develop the access of the population to ICT.
The Active@Home Project intends to increase physical activity of older adults, while motivating them through captivating and challenging exergames tailored for fall prevention, based on typical exergames, dance and Tai Chi.
FallSensing aims to create a new technological solution to enable screening and monitoring of the risk of falling and the implementation of falls prevention programmes in the elderly population.
GARMIO is directed towards researching and developing a web-based solution, destined to locate and characterize mobile devices users with high accuracy, both indoors and outdoors, without requiring GPS data.
Physio@Home is a solution to extend physiotherapy programs to people’s homes as a complement to the sessions performed at the clinics. The solution proposed is based on smartphones or tablets and wearables containing electromyography (EMG) and inertial sensors that will be used to track the execution of the movements and give biofeedback to the user.
VITAAL is proposed as a new concept of home-based exergaming targeting older people threatened to develop mobility-related problems. VITAAL will design interventions for immobility, instability, urinary incontinence and intellectual impairment, and will use gait speed as a simple geriatric assessment to identify the training needs of older adults.
The project will create a system to gather and manage all the data that is relevant for the recommendation of a healthy diet, coming from different sources: sensors for activity monitoring, user reported data, country-specific food databases, retailers’ information, producers’ information, service providers’ information. By making sense of all the data, the central intelligent system can generate recommendations that range from meals to physical activity or other healthy behaviours and prompt people to adopt a healthier lifestyle against malnutrition.
Through the LIFANA project we aim to create a software to support healthy nutrition through all phases of ageing, from active seniors to elderly users in need of care, thus guaranteeing longer living at home by tackling malnutrition.
CogniPlay is a tablet-based gaming platform that provides cognitive stimulation through games targeting several different areas of the cognitive domain, with its primary audience being the senior population.
The Clockwork project target shift workers, such as healthcare professionals, who are greatly affected by chronodisruption, which can thus lead to health issues, long absences or early retirement. The solution aims then to create a healthy and comfortable work environment by supporting middle-aged to older adults in the improvement of their circadian rhythms.
Among the symptoms that mostly impact quality of life for people affected by Parkinson Disease (PD) are the problems associated with walking: rate loss, slowing down, shuffling, and freezing. In the MASPARK project we are using the REMPARK system, a wearable inertial sensor for real-time detection of abnormal gait, to study freezing.
The main aim of My-AHA is to reduce frailty risk by improving physical activity and cognitive function, psychological state, social resources, nutrition, sleep and overall well-being.
The proposed platform will provide numerous incentives to engage diverse stakeholders, constituting a sustainable ecosystem with empowered end users and reliable standardised interfaces for solutions providers, which will be ready for larger scale deployment at project end.
The SmartBEAT project aims to address the needs of senior Heart Failure patients and their formal and informal caregivers by offering an integrated solution to leverage patient self-care through autonomous condition monitoring and real-time feedback to their caregivers.
The Smart Companion is an award winning set of applications for smartphones that were specially designed to meet older adults‘ needs.
The aim of the MpDS project is to build a mobile solution that addresses the various needs of collecting and processing medical images in order to support diagnostic in several clinical contexts.
The Service Assisted Living project (SAL) is an Applied Engineering project that will study the application of Service Engineering and the adoption of Ambient Assisted Living technologies in the construction and operationalization of Complex Integrated Systems, namely the new Information and Communication Technologies in Health.
This project aims to design and effectively develop and implement a framework of risk triage of skin cancer, which uses a new generation of mobile devices in its architecture to capture the images.
The EyeFundusScope concept comprises a smartphone, a low-cost ophthalmoscope mounted on the smartphone built-in camera, image processing algorithms for detection of microaneurysms (first sign) and decision-support to provide an indication of the presence of Diabetic Retinopathy.
MobileDRS is a mobile solution for the risk assessment of diabetic retinopathy by image processing.
This initiative, by the name of MDevNet, will provide users with better and faster access to innovations, by delivering a knowledge and technology transfer platform. To achieve this, the initiative contemplates the creation of a national network of partners, including public authorities, consumer advocacy groups, R&D organizations, and companies involved in the commercialization and distribution within the industry of technology-based medical devices.
This project aims to create a novel framework that can be used as a Decision Support System (DSS) for the screening of Cervical Cancer, by coupling Colposcopy and LBC diagnosis methods with computer vision and machine-learning approaches.
MalariaScope is a project that aims to create a mobile-based solution that can provide an effective pre-diagnosis of Malaria to be used in medically underserved areas.
The aim of the MpDS project is to build a mobile solution that addresses the various needs of collecting and processing medical images in order to support diagnostic in several clinical contexts.
Counterfeiting is a problem that has become increasingly prominent for many global brands. In order to address the counterfeits issue, Fraunhofer AICOS proposes a solution based on a mobile application, running on the user’s smartphone that communicates with a back-end server for validating the authenticity of the equipment being analyzed.
The ShopView project will automate the task of controlling the implementation of planograms in retail spaces, by creating a system which uses state of the art image processing technology to recognize misplaced products.
FhP-AICOS will address issues identified in ShopView, and complete the validation of the solution throughout a long-term pilot, with demonstrators all over the world, through the ShopView2Market project.
Fraunhofer Center for Assistive Information and Communication Solutions
