Designing an Intelligent Elderly Behavior Detection System

This is a research-in-progress of developing an intelligent system of elderly abnormal behavior detection with real-time notifications on a mobile platform. This study involves surveillance of elderly participants in the Philippines using image processing and machine learning to detect abnormal behavior. A real-time mobile notification of abnormal behavior is provided for the elderly's immediate family members and emergency care personnel. The initial testing for abnormal detection achieved an average of ninety percent. Thus, this study contributes to the need for elderly care information systems.