Using sensors in long term care to reduce falls and improve quality of life

Award Date: 2019

Project Lead(s): Cyrelle Muskat

Project Title: Using sensors in long term care to reduce falls and improve quality of life

The project team plans to incorporate sensors in clients’ individual units that will track activities of daily living (ADLs) to learn their normal behavior, and will use Artificial Intelligence to identify behaviour changes that could indicate changes in their condition. The sensors will passively collect data and the AI algorithm will automatically identify changes in normal trends that should be alerted to staff. Using this deep understanding of an individual’s ADLs, the project team aims to implement earlier interventions and preventative measures to reduce negative outcomes that could have developed, especially for older adults and persons living with dementia.