Research Projects

ACROSSING is a 4-year innovative research training network funded by the EU H2020 MARIE SKŁODOWSKA-CURIE ACTION Programme, value: €3.88M, duration: 01/2016-12/2019.

ACROSSING aims to develop advanced technolgoies and platforms for assisted living in smart homes by implementing a multidisciplinary cross-sector pan-European training network to knock down barriers between disciplines and sectors and providing the ESRs with a broad training experience. The research will be undertaken in 15 topically complementary research projects covering four core research themes, and four main application categories. ACROSSING consists of 10 beneficiary partners and 16 associate partners from 12 countries in the EU and beyond, drawn from internationally recognised research institions, universities and both ICT and healthcare industrial leaders.

DMU is the coordinating partner and Prof Chen is the Project coordinator.

    • Creating a hub of research excellence and innovation on context, intelligence and interaction, funded by Higher Education Innovation Funding (HEIF), value: £23K, duration: 09/2015-07/2016.

This project aims to develop the CIIRG into a centre of research excellence by conducting extensive collaborative research with particular emphasis being placed on developing research collaborations and joint research grant bidding.

    • Developing a technology infrastructure for smart cyber-physical systems, funded by Research Investment Fund (RIF), DMU, value: £14K, duration: 08/2015-07/2016.

This project aims to create a smart lab providing sensorised intelligent environment within which research scenarios, prototyping and evaluation can be quickly established and studied.   

The MOSKUS project aims to provide smart ICT solutions for patients suffering from osteoarthritis (OA) and related rheumatic diseases to support self-management of the diseases. It will develop a user-friendly and adaptive self-management system and associated tools that allow patients to perform self-assessment based on situational feedback, sensor inputs and healthcare professionals’ observations. The solution will empower patients to become effective health-care participants, thus improving the health and life quality of these patients while saving costs in the health care sector. MOSKUS solutions will be context-aware, adaptive, unobtrusive and ubiquitous, and evaluated on a clinical trial with voluntary arthritis patients recruited from the participating hospitals and the Norwegian Rheumatism Association.

    • Personal IADL As­sis­tant (PIA), funded by UK EPSRC through EU AAL Joint Programme, value: €1.2 million, duration: 03/2013 - 03/2015.

Older people wish to live independently in their homes and to per­form daily activities without relying on or ask­ing for external help. For some, provision of support to Ins­tru­men­tal Activities of Daily Living (IADL) may become a ne­ces­sity to enable them to ade­quately cope with daily living. PIA will provide pri­mary end-users with effective IADL sup­­­port by of­fer­­ing video clips of de­sired topics of daily living activities on a touch screen-based tablet PC (“PIA tab­let”). Sen­­sors are placed in different locations in the pri­ma­ry end-user’s home, so PIA sys­tem can choose and present lo­cation-re­le­vant activity-aware video clips. In addition, PIA offers video clip tem­plates and prac­tical guide­lines to the secondary end-users to facilitate production of the video clips, and social network to assist the se­con­dary end-users in all steps of setting up the PIA system in the primary end-user’s home, including advice on how to choose and choose the sensors and place.

The prevalence of the Web, the emergence of the Web 2.0 applications, and the rapid growth of smart devices, such as smartphones and GPS enabled cameras, have all contributed to producing huge amounts of media with geospatial data that are publicly available and accessible. Nevertheless, such geospatial data has not been effectively used for facilitating media consumption yet.  This project intends to investigate the use of semantic technologies to enrich media (photos) with  high level geospatial metadata from various data sources and facilitate media retrieval and reuse. Specifically the project will create high-level semantic models for media annotation, and develop methods to organise, query and visualise the semantically enriched media. The developed methods and techniques are tested and evaluated in IN2's media management infrastructure and its  FollowThePlace social platform.         

MICHELANGELO intends to bring the assessment and the therapy of the autism out of the clinical environment and develop a patient-centric home- based intervention requiring a minimal human involvement and therefore extremely cost effective. It exploits ICT and other technologies in assessing and treating the Autistic Spectrum Disorder in children in a more “natural” home environment where non-obtrusive techniques will be used. Meanwhile MICHELANGELO will enhance the effectiveness of the treatment through its “intensiveness” and “personalization” matching the individual characteristics of the autistic children. MICHELANGELO project is expected to have impacts from the medical, social and economic perspectives. The results of its research work will be validated through an exploratory study with autistic children in France and in Italy.

MobileSage aims to provide elderly people with context-sensitive, personalized and location-sensitive tools that allow them to carry out and solve everyday tasks and problems in the self-serve society when and where they occur, "just-in-time". It achieve this by developing a personal agent on the smartphone, which provides a help-on-demand service. The service offers relevant, accessible, and usable content for people in need upon request in the form of multimodal and personalized instruction and guidance. In addition, MobileSage also enables and promotes the users' own generation of such help providing accessible and usable content, which will facilitate adaption and personalisation.

    • The Fusion knowledge transfer project, funded by InterTradeIreland, Ireland, value: 43K, duration: 10/2012 – 04/2014
    • Guidance and Awareness Services for Independent Living (ROSETAA), funded by EU AAL Program, value: €2.3 million, Ref: AAL-2008-1-143, duration: 06/2009-05/2012
    • UU SERG – uLCUC joint project on ubiquitous Life Care, funded by Ministry of Knowledge Economy of Korea, value: £6448, duration: 05/2011-04/2015
    • Deployment of Sensing Technology in Connected Health Care, funded by UK NI DEL RCIF, value: £623,000, duration: 03/2009-03/2011
    • Knowledge Management and Experience Reuse in Collaborative Networked Environment, funded by SAP CEC Belfast, value: £80K, duration: 10/2007-03/2011
    • Towards Semantic Smart Homes: the Synergy of the Semantic Web technologies and Smart Homes, Student placement, funded by the University of Ulster, value: Approx. £12041, duration: 06/2008-04/2009
    • SemanticsAtHome: Raising Awareness within the local community of the use of the Semantic Web in Healthcare Technologies for Smart Home, funded by Higher Education Innovation Fund (HEIF), value: £1500, duration: 03/2008 – 06/2008
    • Grid-enabled Optimisation and Design Search in Engineering (GEODISE), funded by EPSRC e-Science programme, £2.7M Ref: GR/R67705/01, 10/2001-09/2004
    • Enabling and Supporting Provenance in Grids for Complex Problems (PROVENANCE), funded by EU FP6 IST programme, €2M, Ref. No.511085, 10/2004-09/2006



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