The aging population is a serious and widespread challenge throughout the world. Elderly people living alone are more likely to suffer from disability and are not properly cared for. A large number of claims are filed due to injuries caused by falls among the elderly, some of which result in death. This is expected to increase the demand for healthcare services. Such health services focus on providing acute care in hospitals only and caring for older people with long-term illnesses or disabilities living in the community. For this reason, well-established and practical e-health technology solutions are crucial for caring of elderly, especially for those who live alone in remote areas. For this, various innovative machine learning and deep learning methods would continue to monitor their health in every direction to prevent this fall. This article has a survey of different proposed approaches and technologies such as IOT, RADAR, sensors, advanced and hybrid machine learning and deep learning methods. These approaches will be helpful for capturing real time data and predicting the fall.