Smart technology for ageing in place Machine learning for continuous sensor monitoring of the functional health of independently living older adults

Open Access
Authors
Supervisors
Cosupervisors
  • G. Englebienne
Award date 19-11-2020
Series ASCI Dissertation, 412
Number of pages 100
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
This thesis describes research on the use of sensor monitoring to detect changes in the functional health of older adults living alone. Functional health refers to the capability to perform activities that a person needs and wants to do without being limited by pain or injury. The ability to perform these activities is crucial for older adults living independently, because the process of ageing involves many unavoidable changes (usually a decline) related to mental and physical health. Early detection of a decline of functional health status allows for timely intervention, which may contribute to healthy and active ageing in the home environment.
Document type PhD thesis
Language English
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