Sleep is a crucial and substantial biological process. While many wearables monitor sleep, they focus on estimating when people are asleep, but do not take into account circadian rhythms.

An aging workforce, delayed retirement, and earlier detection equates to an increasing number of people diagnosed with dementia long before they wish to retire. The MCI@work project will create a computer-based tool that provides customised employment planning support for people diagnosed with dementia who want to remain at work.

Brain-computer interfaces (BCI) have great potential to support a variety of activities for older adults, such as training for people with Parkinson’s and post-stroke rehabilitation. In collaboration with the Engineering Bionics Lab, we are investigating how aging impacts electroencephalography (EEG) signals and the related implications on BCI.

Research has shown that youth and older adults have much to gain through meaningful interactions as they complement each other’s knowledge, aptitudes, and levels of energy. However, the current social landscape is causing increasing disconnect between the generations.

Capturing and interpreting people’s activity and vital signs is central to monitoring and managing their health. We are creating new and innovative ways of embedding sensors and systems into people’s environments to enable zero-effort remote monitoring.