We are currently working with people from a diversity of sectors and disciplines to refine, operationalise, and test the principles in real-world applications – if this interests you, please contact Jen Boger at jboger@uwaterloo.ca to learn more and to participate.

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.

CARE-RATE is an online resource (product) to support family caregivers of individuals with dementia. CARE-RATE leverages natural language processing and artificial intelligence to power a dialogue-based interface that enables caregivers to describe the problem they are having to CARE-RATE, which returns tailored information about assistive technology, local, regional, and global resources, online forums, and strategies that suit their specific needs.

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.

Exercise has been shown to have significant physical, cognitive, and emotional benefits for older adults, however, changing abilities can make it difficult for people living with dementia to engage in exercise. Together with kinesiologists and people with early-stage dementia, we have co-created head-mounted virtual reality exercise games to encourage engagement in exercise.

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.