Kepler “Night Nurse” for the home: fall detection and mobility reporting
Kepler Vision Technologies and University of Amsterdam will develop an automatic detection and reporting system for elderly care in a home environment.
Because the number of elderly is increasing much faster than the number of available care staff and dedicated care homes, there will be a growing requirement for elderly to remain in their regular homes. The elderly client’s “innercircle” (caregivers, family, others) want to know if things are going well with the client. They want to be informed automatically in a simple, regular, and informative manner. The objective of this project is to develop and demonstrate such an automatic detection and reporting system for elderly care in a home environment.
This project contributes to mission 2: in 2030 50% more care will be organised in the home environment, together with people's networks. This is only possible if formal and informal care work well together. With an aging population and staff shortages, formal care is coming under increasing pressure. At the same time, the burden on informal caregivers is increasing.
- Kepler offers a solution that supports both formal and informal care.
- Kepler offers a solution to continue to provide care in homes without overburdening family caregivers or care workers.
- Kepler has no competitors at this point (yet). The UVA is a world leader in the field of AI in care; with the validation of this type of system, it can continue to fulfil its leading role and attract students with it.
The Netherlands can thus play a pioneering role for the rest of Europe; thus, the project will also have a major impact on the Dutch economy.
This project contributes to the scientific field by developing generative models to generate reports automatically and images of home environment and exploring the use of generated data to train better models for recognizing activities of daily living.
