Automatically detecting activities of daily living from in-home sensors as indicators of routine behaviour in an older population.

ABSTRACT:

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

SUBMITTER: Timon CM 

PROVIDER: S-EPMC10357046 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature