Detecting Unusual Behaviour of Older Adults through A Semi-Automatic Incremental Learning System

Our research team has secured seed funding of $5000 to explore the potential of machine learning in improving the detection of unusual behaviour among care-based older adults. We plan to evaluate the performance of our proposed method by leveraging publicly available datasets and comparing them with state-of-the-art techniques. This novel approach has the potential to aid caregivers and medical staff in identifying and addressing potential health issues among this vulnerable population based on their historical activities.