A study on a fall detection monitoring system for falling elderly using open source hardware

Due to the rapid increase in the elderly population and single-person households, it is absolutely necessary to observe the indoor activities of marginalized people, such as the elderly or the disabled, to detect abnormal conditions. At this time, contact sensors are have limited applicability due to their continuous wear, so there is a need to develop technology to collect daily life activities of the elderly. In this study, we tried to track the elderly living alone using images obtained from an open source camera. The system captures images by linking a low-cost camera module to open source hardware, and an algorithm is implemented to detect falls. This system can be used to reduce the cost of social care by improving the cost of care in the aging population, and this will contribute to promoting and developing management prescription guidelines through risk detection.