Hosted by the Intelligent Systems Laboratory / Interactive AI Centre for Doctoral Training
Abstract: The need to automatically monitor the state and progression of chronic neurological diseases such as dementia, together with the emergence of state-of-the-art sensing platforms for the home environment offer unprecedented opportunities for automatic behavioural monitoring as a proxy of disease state. In this talk, we will talk about how behavioural sensing systems installed in the home, like the CUBOId project, can track activities of daily living such as sleep, walking and talking, and how changes in these activities over time may be reflective of mild cognitive impairment or early Alzheimer’s disease.