Objective: The NEX project has developed an integrated Internet of Things (IoT) system coupled with data analytics to offer
unobtrusive health and wellness monitoring supporting older adults living independently at home. Monitoring involves
visualising a set of automatically detected activities of daily living (ADLs) for each participant. ADL detection allows the
incorporation of additional participants whose ADLs are detected without system re-training.
Methods: Following a user needs and requirements study involving 426 participants, a pilot trial and a friendly trial of the
deployment, an action research cycle (ARC) trial was completed. This involved 23 participants over a 10-week period each
with ∼20 IoT sensors in their homes. During the ARC trial, participants took part in two data-informed briefings which presented visualisations of their own in-home activities. The briefings also gathered training data on the accuracy of detected
activities. Association rule mining was used on the combination of data from sensors and participant feedback to improve
the automatic ADL detection.
Results: Association rule mining was used to detect a range of ADLs for each participant independently of others and then
used to detect ADLs across participants using a single set of rules for each ADL. This allows additional participants to be
added without the necessity of them providing training data.
Conclusions: Additional participants can be added to the NEX system without the necessity to re-train the system for automatic detection of their ADLs.
Metadata
Item Type:
Article (Published)
Refereed:
Yes
Uncontrolled Keywords:
Activities of daily living; internet of things sensors; association rule mining; data visualisation
Disruptive Technologies Innovation Fund administered by Enterprise Ireland, project grant number DT-2018-0258, Science Foundation Ireland under grant number SFI/12/RC/2289_P2, co-funded by the European Regional Development Fund.
ID Code:
28918
Deposited On:
17 Aug 2023 13:42 by
Vidatum Academic
. Last Modified 17 Aug 2023 13:42