Meeting challenges of activity recognition for ageing population in real life settings
Aimilia Papagiannaki, Evangelia I. Zacharaki, Κωνσταντίνος Δελτούζος, Roberto Orselli, Anne Freminet, Sibora Cela, Elena Aristodemou, Marina Polycarpou, Marina Kotsani, Athanase Bénétos, John Ellul, Vasileios Megalooikonomou · 2018
As the global community becomes more interested in improving the quality of life of older people and preventing undesired events related to their health status, the development of sophisticated devices and analysis algorithms for monitoring everyday activities is necessary more than ever. Wearable devices lie among the most popular solutions from a hardware point of view, while machine learning techniques have shown to be very powerful in behavioral monitoring. Nevertheless, creating robust models from data collected unobtrusively in home environments can be challenging, especially for the vulnerable ageing population. Under that premise, we propose an activity recognition scheme for older people along with heuristic computational solutions to address the challenges due to inconsistent measurements in non-standardized environments.