SPHERE (EPSRC IRC)

Project Details

Description

SPHERE : An EPSRC Interdisciplinary Research Collaboration (IRC).

This project aims to develop a platform of sensors to be deployed in people's homes to monitor the health and wellbeing

SPHERE is a large, multidisciplinary research project bringing together over 100 researchers from three universities, as well as industrial and engagement partners, to develop a unique system of sensors for the home. This system collects a wide range of information, including heat, light, humidity as well as quantity and quality of movement. The project, which is funded by EPSRC, is working out how to combine these multiple streams of information so they are relevant to clinical care, prediction of illness and to open up new avenues in early diagnosis.

The Public Engagement team have worked in partnership with future end users and local people who will have the unique experience of living with these new technologies in 100 homes. Innovative and participatory methods of involvement, engagement and co-working enabled the technology and research processes to be acceptable, appropriate and relevant.

SPHERE began in 2013 and continues to work with the public; we always welcome people to get involved. In 2016, SPHERE received a finalist award in the national Engage Competition, which recognised our public health and well-being engagement work.


Alternative titleA Sensor Platform for Healthcare in a Residential Environment
StatusFinished
Effective start/end date1/10/1330/09/18

Research Output

DS-KCF: a real-time tracker for RGB-D data

Hannuna, S., Camplani, M., Hall, J., Mirmehdi, M., Damen, D., Burghardt, T., Paiement, A. & Tao, L., 1 Oct 2019, In : Journal of Real-Time Image Processing. 16, p. 1439-1458 20 p.

Research output: Contribution to journalArticle (Academic Journal)

Open Access
File
  • 8 Citations (Scopus)
    477 Downloads (Pure)

    Efficient and Robust Skeleton-Based Quality Assessment and Abnormality Detection in Human Action Performance

    Elkholy, A., Hussein, M., Gomaa, W., Damen, D. & Saba, E., 11 Mar 2019, In : IEEE Journal of Biomedical and Health Informatics.

    Research output: Contribution to journalArticle (Academic Journal)

    Open Access
    File
  • 264 Downloads (Pure)

    Markerless Active Trunk Shape Modelling for Motion Tolerant Remote Respiratory Assessment

    Soleimani, V., Mirmehdi, M., Damen, D. & Dodd, J., Feb 2019, 2018 25th IEEE International Conference on Image Processing (ICIP 2018): Proceedings of a meeting held 7-10 October 2018, Athens, Greece. Institute of Electrical and Electronics Engineers (IEEE), p. 2077-2081 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
  • 1 Citation (Scopus)
    206 Downloads (Pure)

    Datasets

    SPHERE ADL ontology

    Woznowski, P. (Creator), Dr Rachel King, U. O. R. (Contributor) & Holley, A. (Data Manager), University of Bristol, 7 Mar 2016

    Dataset

    SPHERE-Calorie

    Tao, L. (Creator), Mirmehdi, M. (Contributor), Hannuna, S. L. (Contributor), Burghardt, T. (Contributor), Aldamen, D. (Contributor), Tao, L. (Contributor), Craddock, I. J. (Contributor), Paiement, A. (Contributor), Camplani, M. (Contributor) & Craddock, I. J. (Data Manager), University of Bristol, 31 Oct 2016

    Dataset

    Activities

    • 1 Invited talk

    University of Kent Invited Talk

    George Oikonomou (Invited speaker)

    22 Jun 2016

    Activity: Participating in or organising an event typesInvited talk