Supervisor: Andrea Zanella
Co-supervisor: Federico Mason
Co-supervisor Department/Company:
Creation Date: 15/07/2025 13:56
This thesis project aims to explore and evaluate various unobtrusive tracking technologies that can enhance the safety of individuals with cognitive impairments, such as those with dementia or Alzheimer's disease. The project involves analyzing various tracking methods, conducting small-scale usability tests, and addressing ethical concerns. Students are expected to propose improvements or novel approaches based on their findings. This interdisciplinary project combines technical assessment with healthcare applications, requiring skills in research, critical analysis, and problem-solving. The project will be supported by a local continuing care retirement community, namely the OIC (Casa di Riposo Fondazione Opera Immacolata Concezione) of Padova, who is very interested on the topic and can support the research and testing activities.
Dataset type: Data to be acquired
Dataset description: Localization/position/tracking data.
List of Methods: Commercial devices or programmable boards.
network modeling, Internet