Spring Techno is largely involved in European R&D projects on software development with our contribution mainly related to machine learning, pattern recognition, visual analytics and medical systems.
Projects include the health sector, statistical research, mobile applications and ICT for the assistance of those who are elderly.
Machine Learning and Statistics
In the scope of the ATHLOS Projekt, Spring Techno contributes to the development and evaluation of several statistical
models, preparing a microsimulation model to predict trends in healthy ageing.
The EU-funded ATHLOS Project aims to achieve a better understanding of ageing by identifying patterns of healthy ageing trajectories, the determinants of those patterns, and to propose timely clinical and public health interventions to optimise healthy ageing.
The aim of the INFORE project is to address the challenges posed by huge datasets and pave the way for real-time, interactive extreme-scale analytics and forecasting.
In the use case, spring techno is involved in, the project uses massive amounts of historical and near real-time market data to facilitate forecasting, systemic risk estimation and decision support for finance industry stakeholders.
The project will develop high quality connected care services and diagnosis tools based on Advanced Smart Health-Care IoT devices. SERENE-IoT addresses three main Medical challenges in the following domains:
• Remote Healthcare (moving care services from hospital to home)
• Early detection of Methicillin-resistant bacteria
• Fall Prevention/Detection
Contribution of spring techno within the consortium: A fall detection and fall prevention system, including data analysis, health status prediction, fall alarms and visualization.
SmartDataLake aims at designing, developing and evaluating novel approaches, techniques and tools for extreme-scale analytics over Big Data Lakes.
It tackles the challenges of reducing costs and extracting value from Big Data Lakes by providing solutions for virtualized and adaptive data access; automated and adaptive data storage tiering; smart data discovery, exploration and mining; monitoring and assessing the impact of changes; and empowering the data scientist in the loop through scalable and interactive data visualizations.
Falls are a major health concern for older adults because of the immediate effects such as fractures and head injuries as well as longer term issues like disability, fear of falling and loss of independence. The European Project WIISEL (Wireless Insole for Independent and Safe Elderly Living) was created to help decrease the incidence of falls in the elderly population.
The main goal of WIISEL is to develop an insole for the elderly which can be placed in the shoe that monitors the way they walk. The system is expected to detect changes in gait and balance in daily elderly environments in order to prevent the risk of falls. Additionally, the system will provide security to the elderly directly affecting their quality of life.
QualiMaster focuses on financial analysis based on combining financial data streams and social web data, especially for systemic risk analysis.
QualiMaster develops novel approaches for autonomously dealing with load and need changes in large-scale data stream processing.
QualiMaster’s infrastructure will enable autonomous proactive, reflective and crosspipeline adaptation, in addition to the more traditional reactive adaptation.
SONOPA aims to achieve its objective through a data collection and fusion structure which merges real measurements of the user’s activities in order to encourage activities with their peers.
Reminders and recommendations come through personalized easy-to-use wall displays placed at the user home. SONOPA will employ data analysis techniques to derive a model for the wellness of the user along four dimensions: social, eating, leisure habits and mobility.
With particular focus on the age group from 55 to 80, SOCIALIZE will simplify the modalities with which elderly people have access to internet related services. The project develops service-oriented software architecture, a set of user interfaces and access devices as well as a set of software tools to implement those dedicated services. This approach will allow elderly people to make use of services provided by organizations which they are already used to interacting with. The SOCIALIZE platform, once implemented, will be made available to project partner organizations in charge of offering services to those who are elderly.
The project MOBILITY works to support those who are blind and people with special needs in airports, train stations and public buildings. Through the use of smart phones, Wireless LAN, indoor sensors and graphic and speech interfaces, the MOBILITY system provides on-demand guidance, warnings and information of special interest for the target group.
This is the design and development of an open source framework used to provide a portal that aggregates multimedia information streams. These come from podcasts, media RSS and publicly available audio and video sources and help develop personalized, adaptive and topic-oriented channels for professionals and consumers. spring techno contributes to this project with pattern recognition algorithms applied to multimedia streams for the automatic creation of personalized media channels.
The PAL idea is to provide an indoor navigation service similar to what we are used to when driving.
The project focuses on users with specific needs especially elderly and visually impaired persons who need to find their way through complex travel hubs and train stations.
IM3I aims to provide new ways of searching, summarizing and visualizing large multimedia archives.
The objective of the project is to create work environments that support creativity and flexibility beyond the classical procedural work approaches by providing automatic and semi-automatic methods and tools for semantic annotation. spring techno contributes to this project with the development of a 3D search engine, back-end software and 3D visualization.
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