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Home » Consortium » ESRs

ESRs

Recruited ESRs and their projects:

ESR1. Complex activity modelling and recognition within smart environments

ESR2. Behavioural analysis for personalised self-management of chronic diseases.

ESR3. Privacy-preserving, standard-based wellness and activity data modelling and management within SHs.

ESR4. Continuous behaviour and physiology monitoring using ambient acoustics and thermal images.

ESR5. Development of novel radar-based behaviour recognition

ESR6. Towards personalized in-home self-management and intervention for patients with Chronic Diseases.

ESR7. A virtual reality enabled adaptive interaction for cognitive rehabilitation for People with Mild Cognitive Impairment.

ESR8. Self-adaptation and auto-configuration of probabilistic graphical models for SH and AAL applications.

ESR9. Modular platform concepts and universal service provision.

ESR10. Egocentric subject monitoring and tracking in Smart homes.

ESR11. Monitoring and detection of early risks of mental health from learned activity profiles.

ESR12. Robot Gaming Strategies to Enhance Older Adults’ Wellbeing and Quality of Life.

ESR13. Automatic monitoring and detection of activities of daily living (ADLs) within Home Environments.

ESR14. Semantic-based usage mining enabled personalisation and adaptation technologies for SH.

ESR15. The use of connected health solutions to promote physical activity.

Latest News

  • ACROSSING Secondment: De Monfort University

    ESR Eduardo Machado completed his latest secondment in De Montfort University. Our ESR 14 is investigating on adaptive user interfaces to help older people in Smart Home environment. During the secondment, he had the opportunity to present his recent work at the Symposium on Smart Healthcare and Innovation at DMU. A computational framework that combine eye features metrics and machine learning algorithms enabling the assessment of user cognitive load.

    • Read more about ACROSSING Secondment: De Monfort University

ACROSSING has received sponsorship from the Marie Sklodowska-Curie EU Framework for Research and Innovation Horizon 2020, under Grant Agreement No. 676157

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