Architecture for IOT based geriatric care fall detection and prevention

Increased longevity is a triumph for public health and the result of social and economic development. However senior citizens will be suffering from one or the other chronic disease and need assistance in every day activity. Fall is a crucial issue as the physical consequences of fall are more fatal and the risk increases with age. Geriatric care is a study of identifying the movement-related problems in elders by quantification and avoid falls by interpretation. Current solutions focus on robotic environment, specialized sensors, tracking systems, and smart devices yet there is no unified general architecture as how to deploy these for the best use. This paper review the current state-of-art of Geriatric care solutions with a focus on IOT. We propose an architecture which will exploit the inherently expansive and cascading nature of IOT, meanwhile being flexible to accommodate other ICT based solutions.