Remote monitoring of the environment and patient status is essential for providing care through GRaCE-AGE. PhD student Nazmul Hussain is investigating the use of intelligent agents called Autonomic Adapters (AAs) to assist collaboration between sensors and human participants in the GRaCE-AGE network.
Chris Buckingham (GRaCE-AGE) and Joris Wille (BeWell Innovations) attended EHI Live: the largest digital health exhibition in the UK.
Initial research is taking place within GRaCE into the development of a social system for the platform.
Coventry and Warwickshire Partnership Trust with Coventry Warwickshire Mind have created a Recovery and Wellbeing Academy that provides courses for people recovering from mental health issues. Christopher Buckingham and Ann Adams delivered two sessions on how to use myGRaCE for improving wellbeing at home.
The GRaCE-AGE consortium presented its progress for 2017, and plans for 2018, to EIT Health officers in Brussels in September.
The year featured many technical achievements which were positively received, and the officers advised that GRaCE is ready for commercialisation. A business plan has been produced, and a focus for 2018 will be the commercialisation of the project.
Two sixth form students joined GRaCE over the summer for a six week research placement, arranged through the Nuffield Foundation.
A workshop event was held at Aston University in September, co-occurring with a smaller event in Belgium, attracting 30 delegates from 9 technology and IT companies to discuss their view of supporting older adults in the community, and how it aligns with training needs.
The GRaCE-AGE consortium had a successful September meeting in Leuven, Belgium, to discuss progress and coordinate the various ongoing activities.
The GRaCE-AGE consortium meeting in Leuven
A new paper, presented by Nasser Amaitlik of Aston University at the 2017 Computing Conference in London, proposes a new fuzzy-based methodology which can be applied to the modelling of mental-health risk predictions.
More than thirty percent of persons over 65 years fall at least once a year and are often not able to get up again, making this a major hazard for those living at home. Camera-based fall detection systems can help by triggering an alarm when falls occur. A new paper presents ways to reduce rates of false alarms in these systems.