Multisensory automation for assisted living

Project leader: Professor Olli Silvén

Project co-leader: Assistant Professor Miguel Bordallo López

The MAALI project investigates the creation of an intelligent autonomous multi-sensory stratified system to support assisted living. The project develops technologies that will aid early diagnosis, and the monitoring of activity changes for the aging people living at home. The objective is to impact the automation of a range of assisted living and healthcare needs by employing pattern recognition across a network of low-cost networked sensors in a home environment. The project aims to enhance existing assistive technologies by providing the capability to automatically monitor and reason overactivity and vital signs data and communicate these data to support actors in case of emergency. The sensors inform each other about activities in the household and aim to extract the best possible information at each instant of time by employing signal processing and artificial intelligence methods.

Strategic research project of the University of Oulu
Focus institute: Infotech Oulu
Faculty: Faculty of Information Technology and Electrical Engineering (ITEE)