Multimodal Elderly Care Systems (MECS)
About the project
The number of elderly people living at home is increasing and this trend is expected to continue. The challenge then would be how to provide technology that can handle the complex and different environments found in homes. Further, technology can easily be seen as a threat to privacy and lack of interpersonal contact. This project addresses these issues by user centered design of robotic systems and the development of adaptive technology. A part of this will be to demonstrate the benefits regarding both performance and privacy being improved by applying sensors like cameras on a robot companion rather than having them permanently mounted in a home. These would be used for detecting falls and other non-normal situations. Using new sensor technology, we would also like to explore if it is possible to remotely monitor medical states like pulse, breathing etc. Rather than having elderly themselves activating their personal security alarm in the case of an emergency situation, a target of this project is to demonstrate automatic activation. Many systems for elderly have been designed but few have been adopted on a large scale. We think a key reason for this is limited user involvement and few iterations of user testing. Therefore, we will focus specifically on developing our systems with a large degree of user participation.
In This project, a robot companion moves in a residential environment in the presence of unknown static and dynamic obstacles. Thus, having an effective and efficient control architecture, plays an important role in the achievement of the project objectives.
Create and evaluate multimodal mobile human supportive systems that are able to sense, learn and predict future events.
Research Council of Norway 2015–2019, IKTPLUSS, 2 PhDs and 1 post-doc (10% of prop. funded)