Probabilistic Framework for Detecting Irregular Movement Transitions in Alzheimer's Patients

This framework addresses the main drawbacks of conventional techniques by introducing a dynamic, patient-specific approach to tracking the mobility patterns in Alzheimer's patients. It supports real-time actions to increase safety and lower risks by improving carer decision-making through its predictive capabilities. If integrated with smart healthcare systems, this framework could revolutionize Alzheimer's patient care by fostering a safer and more responsive care-giving environment.